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Regulatory Topic · AI Laws by State

Financial Services AI Regulation

322 published AI bills across 44 states, each checked against official state legislature records.

322 Total Bills
44 States

Financial services AI regulation addresses the use of artificial intelligence in credit scoring, algorithmic trading, lending decisions, and insurance underwriting at the state level. As AI-driven models increasingly determine creditworthiness and loan eligibility, legislatures are imposing fairness, transparency, and anti-discrimination requirements on financial institutions deploying these systems.

Key developments include Colorado's SB 26-189, which from January 1, 2027 treats lending decisions as consequential decisions requiring pre-use notice and adverse-outcome explanations, alongside federal fair lending law (the Equal Credit Opportunity Act and Regulation B).

NY A08158
In Committee Medium Risk

Enacts the New York privacy act to require companies to disclose their methods of de-identifying personal information, to place special safeguards around data sharing and to allow consumers to obtain the names of all entities with whom their information is shared.

New York's A 8158 (the "New York privacy act") would add General Business Law Article 42-A (§§ 1200-1207). Among other consumer rights, people could opt out of "profiling in furtherance of decisions that produce legal or similarly significant effects" (such as lending, housing, insurance, employment and health care), and controllers would have to run data protection assessments for profiling that presents a reasonably foreseeable risk of unfair treatment or unlawful disparate impact. Only the Attorney General could enforce it, with penalties of up to $20,000 per violation. Introduced May 2, 2025 and referred to Consumer Affairs and Protection (again January 7, 2026); not passed.

CO HB 1210
Vetoed High Risk

Prohibit Surveillance Price & Wage Setting

Colorado's HB 26-1210 would have banned individualized price and wage setting: using an algorithm that applies statistical modeling, data analytics, AI or similar techniques to surveillance data about a person's characteristics, online behavior or biometrics, as more than a de minimis factor in the price offered to a consumer or the wage offered to a worker. Cost-based, supply-and-demand, public-discount, loyalty and need-based pricing, consumer-report credit refusals, and wages based solely on seniority or hired-for tasks and performance with plain-language disclosure, would have been allowed. Violations would have been deceptive trade practices. Vetoed by the Governor on June 2, 2026.

MD SB889
Dead/Failed Medium Risk

Consumer Protection and Labor and Employment - Electronic Shelving Labels and Surveillance-Based Price and Wage Setting - Prohibitions

Maryland's SB 889 (2026, first reader text) would have barred surveillance-based price setting (pricing consumer goods or services based on profiling or processing of consumer or device data), barred food retailers of at least 15,000 square feet from using electronic shelving labels to display prices, and barred employers from surveillance-based wage setting using surveillance data with an automated decision system. It had a Senate Finance hearing set for March 12, 2026 and died when the 2026 session ended.

MD SB909
Dead/Failed Medium Risk

Vehicle Laws - Fully Autonomous Vehicles

Maryland's SB 909 (2026, first reader text, cross-filed with HB 1295) would have allowed fully autonomous vehicles to operate without a human driver on Maryland highways if they meet safety, first responder plan and insurance requirements, including at least $1,000,000 combined single limit liability coverage when the automated system is engaged. It would have barred state and local bans on such vehicles. It had a Senate hearing set for March 4, 2026 and died when the 2026 session ended.

MD HB1295
Dead/Failed Medium Risk

Vehicle Laws - Fully Autonomous Vehicles

Maryland's HB 1295 (2026, first reader text, cross-filed with SB 909) would have allowed fully autonomous vehicles to operate without a human driver on Maryland highways if they meet safety, first responder plan and insurance requirements, including at least $1,000,000 combined single limit liability coverage when the automated system is engaged. It would have barred state and local bans on such vehicles. It had a House hearing set for March 5, 2026 and died when the 2026 session ended.

MD SB602
Dead/Failed Medium Risk

Algorithmic Addiction Fund - Establishment

Maryland's SB 602 (2026, first reader text, cross-filed with HB 715) would have created the Algorithmic Addiction Fund, administered by the Maryland Department of Health, to hold civil penalties the State receives from judgments or settlements over harm to children from social media and improper use of algorithms, for prevention, intervention and treatment programs. The fund would start only after such a judgment or settlement. It had a Senate Finance hearing set for February 24, 2026 and died when the 2026 session ended.

MD SB936
Dead/Failed High Risk

Consumer Protection - High-Risk Artificial Intelligence - Developer and Deployer Requirements

Maryland's SB 936 (2025) would have added Commercial Law sections 14-47A-01 to 14-47A-08 requiring developers and deployers of high-risk AI systems used for consequential decisions to use reasonable care against algorithmic discrimination starting February 1, 2026, with impact assessments, consumer notices and appeals. The Attorney General would enforce, with fines up to $1,000 per violation ($1,000 to $10,000 if willful). A Senate Finance hearing was set for February 27, 2025; the bill went no further and died when the session ended.

MD HB1399
Dead/Failed Medium Risk

Consumer Protection - Consumer Reporting Agencies - Use of Algorithmic Systems

Maryland's HB 1399 (2026, first reader text) would have added Commercial Law section 14-1228 requiring consumer reporting agencies that use algorithmic systems to assemble or evaluate consumer information to explain evaluations in plain language, keep a public registry of algorithms, meet error-rate targets, get quarterly independent bias audits, have humans review automated evaluations within 24 hours, and notify consumers when AI is used. It had a House Economic Matters hearing set for March 10, 2026 and died when the 2026 session ended.

MD HB952
Dead/Failed Medium Risk

Consumer Protection - Companion Chatbots - Regulation

Maryland's HB 952 (2026, third reader text) would have required operators of companion chatbots available to Maryland users to keep and publish self-harm and minor sexual-content protocols, display warnings that the chatbot is not human (a persistent on-screen warning plus pop-ups at the start and after every hour of continuous use), limit personal data use, and run a complaint system. A chatbot would be treated as a product with strict liability exposure. It passed the House 123-4, was referred to Senate Finance, and died when the 2026 session ended.

US HB5466
Introduced Medium Risk

GUARD Act Growing University AI Research for Defense Act

The federal H.R. 5466 (GUARD Act, Growing University AI Research for Defense Act) would allow the Secretary of Defense to establish at least one National Security and Defense Artificial Intelligence Institute at a senior military college and to seek to award financial assistance to support it, for a five-year period renewable for one more five-year period. Introduced September 18, 2025 and referred to the House Armed Services Committee; no further action.

HI HB2537
Dead/Failed Medium Risk

Relating To The Patients' Bill Of Rights.

Hawaii's HB 2537 (2026), the Patients' Bill of Rights, would have amended HRS chapter 432E for managed care plans. It would set prior authorization deadlines (one business day urgent, three non-urgent), require notice and independent board-certified clinician review before an adverse action to which an automated decision support tool materially contributed, and require governance and bias-testing records by June 30, 2027. It was referred to HLT and CPC February 2, 2026 and died.

HI SB2967
Dead/Failed High Risk

Relating To Artificial Intelligence.

Hawaii's SB 2967 (2026) would have added a part to HRS chapter 480 regulating businesses ('deployers') that use AI systems or automated decision tools with consumers. They would have to disclose AI interactions, give notice and explanation, correction, appeal and human review for AI-influenced consequential decisions, keep risk programs, do annual impact assessments and report incidents within 90 days. A violation would be an unfair or deceptive act. The Senate committee on LBT deferred it February 11, 2026; it died.

HI SB2768
Dead/Failed High Risk

Relating To Health Care.

Hawaii's SB 2768 (2026) would have barred health carriers and utilization review organizations from using AI, algorithms or software tools to deny, delay or modify a determination to provide health care services, and would have required a licensed health care provider to independently review any adverse action before a carrier issues it. It was referred to HHS/LBT and CPN on January 30, 2026 and was not enacted.

HI HB2500
Dead/Failed Medium Risk

Relating To Artificial Intelligence.

Hawaii's HB 2500 (2026) would have added a chapter on algorithmic decision systems. Developers would have to give deployers risk disclosures; deployers would have to give notice before use and post-decision information (including the 20 most influential characteristics) when a system affects education, employment, finance, government services, health care, housing, insurance or legal services; generative AI would have to be disclosed to users. Developers and deployers would be jointly and severally liable for violations facilitated by the deployer. House committee ECD deferred it February 6, 2026; it died.

MN SF4233
Dead/Failed Medium Risk

Surveillance-based price and wage discrimination prohibition

Minnesota's SF 4233 would have prohibited using an automated decision system to set individualized prices for consumers or wages for workers based on surveillance data about them, with listed exceptions, and required anyone using such a system for prices or wages to publish procedures to check and correct the data. The text names no enforcer or penalty. Introduced March 9, 2026 and never left committee.

MN HF3661
Dead/Failed Medium Risk

Acquisition and use of facial recognition technology by government entities prohibited.

Minnesota's HF 3661 would have barred state and local government entities, law enforcement agencies and officials from obtaining, retaining, accessing or using face surveillance systems or their information, or contracting with private entities to do so. Evidence from violations would have been inadmissible, and people could sue for damages of at least $1,000 or $100 per violation, whichever is greater, plus injunctions. Introduced February 23, 2026 and referred to Judiciary Finance and Civil Law and it never left committee.

MN HF4521
Dead/Failed Medium Risk

Autonomous vehicles and on-demand autonomous vehicle networks operation authorized, and rulemaking authorized.

Not law. Minnesota's HF 4521 would have amended Minn. Stat. 169.011 and added sections 169.251 to 169.255 letting autonomous vehicles operate with annual commissioner of public safety authorization (not effective until July 1, 2027), at least $10,000,000 combined single limit liability coverage for driverless use, and independent safety verification. On-demand autonomous vehicle networks would need separate authorization. Fees and some deadlines were left blank. It never left committee.

MN HF3513
Dead/Failed Medium Risk

Autonomous vehicles regulated.

Not law. Minnesota's HF 3513 would have authorized level 4 and 5 autonomous vehicles to operate on public roads, with driverless operation requiring commissioner authorization and a first responder interaction plan, and at least $1,000,000 combined single limit liability coverage. It would also have let on-demand autonomous vehicle networks operate under state rules, treated the driving system as the driver, and preempted local regulation. Introduced February 19, 2026; it never left committee.

MN HF2500
Dead/Failed Medium Risk

Algorithm and AI use prohibited during health insurance prior authorization request review.

Minnesota's HF 2500 would have barred a health carrier from using an algorithm or artificial intelligence program when deciding whether to approve or deny a prior authorization request. It would have applied to health plans offered, sold, issued or renewed on or after January 1, 2026. Introduced March 17, 2025 and referred to Commerce Finance and Policy and it never left committee.

MN SF3984
Dead/Failed Medium Risk

Prior authorization usage of algorithms or artificial intelligence prohibition provision

Minnesota's SF 3984 would have barred a health carrier from using an algorithm or artificial intelligence program when deciding whether to approve or deny a prior authorization request. It would have applied to health plans offered, sold, issued or renewed on or after January 1, 2026. Introduced February 26, 2026 and referred to Commerce and Consumer Protection and it never left committee.

FL H0527
Dead/Failed Medium Risk

Mandatory Human Reviews of Insurance Claim Denials

Not law: passed the House but died in the Senate when the session ended. Florida's CS/CS/HB 527 (2026) would have let workers' compensation carriers, insurers and HMOs use AI to help process claims but barred AI from being the sole basis for denying or reducing a claim; a qualified human professional would have had to review the facts independently and decide, keep records, and tell claimants in writing. The House passed it 108-0 on March 5, 2026; it died in Senate Rules on March 13, 2026.

VT H0821
Dead/Failed Low Risk

An act relating to artificial intelligence

Vermont's H.821 (2026) would have required anyone using generative AI to interact with consumers to clearly disclose, when asked, that the consumer is dealing with AI, and would have required licensed professionals to disclose high-risk generative AI interactions. Violations would have been unfair and deceptive acts enforced by the Attorney General, and a person could not blame generative AI as a defense. It would also have added members to the Artificial Intelligence Advisory Council and required a report by January 15, 2027. Referred to committee January 29, 2026; died.

VT H0776
Dead/Failed Medium Risk

An act relating to the use of artificial intelligence in health care coverage decisions

Vermont's H.776 (2026) would have added 18 V.S.A. 9423 on AI in health care coverage decisions. A health plan using an AI tool, algorithm or software for utilization review would have had to base determinations on the insured's clinical history and circumstances, not rely solely on a group dataset, apply it consistently, allow Department of Financial Regulation audits, and review it at least quarterly. AI could not deny, delay or modify coverage; adverse determinations would have been made only by a licensed human provider. Referred to committee January 27, 2026; died.

WV SB498
Dead/Failed High Risk

Relating to pornography access for minors

West Virginia's SB 498 (2026 regular session) would have added W. Va. Code 61-8A-6, requiring commercial adult websites (where sexually explicit material is more than 25% of content) to verify age with biometric facial recognition, a government-issued ID and an adult's credit card, repeated every 24 hours, without storing biometric data after verification. Penalties would include $1 million per violation and civil damages. It was sent to Senate Judiciary on January 19, 2026 and died when the session ended March 14, 2026.

IL HB5649
Dead/Failed High Risk

DFPR-AI-MENTAL HEALTH SERVICE

Illinois's HB 5649 (103rd General Assembly) would have made it an unlawful practice under the Consumer Fraud Act for a licensed mental health professional to provide mental health services through AI without first obtaining the patient's informed consent and disclosing the use of AI tools, with matching grounds for discipline in the professional licensing Acts. It was not passed before the 103rd General Assembly ended (Session Sine Die, January 7, 2025).

LA SB246
Dead/Failed Medium Risk

Establishes requirements for health insurance issuers using artificial intelligence or automated decision systems. (8/1/26)

Louisiana's SB246 would have set rules for health insurers, pharmacy benefit managers and independent review organizations that use AI or automated decision systems in utilization review: no use that denies, delays or modifies care, adverse determinations signed by a physician who reviewed the record, disclosure of AI use, and a presumption that AI-influenced adverse decisions are invalid on appeal. The Senate withdrew it from its files May 28, 2026, so it died.

LA HB471
Dead/Failed Medium Risk

Provides relative to prohibiting surveillance-based price discrimination

Louisiana's HB471 would have made 'surveillance-based price discrimination' an unfair or deceptive trade practice, so that no person could engage in it. It defines surveillance data, behaviors, biometrics and automated decision systems, and exempts cost-justified price differences, certain equal-terms discounts and refusals based on a Fair Credit Reporting Act consumer report. It was considered in House Commerce April 22, 2026 and died. A Senate bill on the same subject, SB362, also died.

OR HB4054
Dead/Failed Medium Risk

Relating to downcoding.

Not law. Oregon HB 4054 (2026) would have required health insurers that provide utilization review to tell a provider in writing, within two business days after payment, when AI, an algorithm or other software automatically downcoded a claim, giving the reason and appeal rights, and would have given providers a timely appeal. It had a public hearing in the Information Management and Technology committee and was in committee upon adjournment March 6, 2026.

OR HB4085
Dead/Failed Medium Risk

Relating to autonomous vehicles.

Not law. Oregon HB 4085 (2026) would have let autonomous vehicles run on Oregon highways with the driving system engaged if they can reach a minimal risk condition or request intervention, follow state vehicle law and meet federal safety standards. It would have required at least $1 million per occurrence third-party liability coverage, state authorization for driverless for-hire service and local preemption. It had a public hearing in the House Transportation committee and was in committee upon adjournment March 6, 2026.

AR HB1816
Dead/Failed Medium Risk

To Prohibit Healthcare Providers And Healthcare Insurers From Using Artificial Intelligence In The Delivery Of Healthcare Services Or The Generation Of Medical Records Unless Certain Requirements Are Met.

Arkansas HB 1816 (2025) would have added Ark. Code § 17-80-123 to bar healthcare providers and healthcare insurers from using artificial intelligence in delivering healthcare services or generating medical records, unless the AI is approved by the U.S. Food and Drug Administration and verified by a quality assurance laboratory. It was filed March 17, 2025, referred to the House Public Health, Welfare and Labor Committee, and withdrawn by its author on April 14, 2025.

IA HF2540
Introduced Medium Risk

A bill for an act relating to computer science and artificial intelligence education, including high school curricula and graduation requirements, and practitioner preparation programs, and including applicability provisions. (Formerly HSB 610.)

Iowa's HF 2540 (formerly HSB 610) would require students in the graduating class of 2030-2031 and later to complete one semester of computer science and artificial intelligence, let CS/AI units count toward math, science and career-technical credit, and require teacher preparation programs to cover CS, AI and computational thinking. Placed on the House calendar February 16, 2026; it has not passed either chamber.

IN HB1283
Dead/Failed High Risk

Use of altered media in elections.

Indiana's HB 1283 (2024) would have barred anyone who finances a candidate communication from disseminating 'fabricated media' (altered recordings or generative-AI imitations made without consent) of a candidate in an election within 90 days, to injure the candidate or party or influence the outcome, unless it carries the disclaimer 'This media has been manipulated or generated by artificial intelligence.' A depicted candidate could sue; the bill sets no criminal penalties. Referred to committee January 9, 2024; it did not pass.

TX HB1709
Dead/Failed High Risk

Relating to the regulation and reporting on the use of artificial intelligence systems by certain business entities and state agencies; providing civil penalties.

Texas HB 1709 (2025), as introduced, the Texas Responsible Artificial Intelligence Governance Act, would have set duties for developers, distributors and deployers of high-risk AI systems that are a substantial factor in consequential decisions, with attorney general enforcement and civil penalties of $50,000 to $100,000 per uncured violation. It also would have banned certain uses, created a regulatory sandbox and an AI Council. It died when the regular session adjourned June 2, 2025.

TX HB2922
Dead/Failed Medium Risk

Relating to use of artificial intelligence in utilization review conducted for health benefit plans.

Texas HB 2922 (2025), as introduced, would have barred a utilization review agent from using an artificial intelligence-based algorithm as the sole basis for a decision to wholly or partly deny, delay, or modify health care services for an enrollee on medical necessity grounds. Only a physician or licensed health care provider could determine medical necessity, and the insurance commissioner could audit and inspect the agent's use of AI at any time. It did not pass both chambers and died when the session adjourned June 2, 2025.

TX SB1411
Dead/Failed Medium Risk

Relating to the use of artificial intelligence-based algorithms by health benefit plan issuers, utilization review agents, health care providers, and physicians.

Texas SB 1411 (2025), as introduced, would have regulated AI-based algorithms in health coverage and care. Health benefit plan issuers and physicians could not discriminate on race, color, national origin, gender, age, vaccination status or disability using clinical AI algorithms. Issuers would have had to disclose AI use in utilization review, submit algorithms and training data to the insurance department, and have a specialist review before an adverse determination. Physicians and providers could have faced license sanctions and fines up to $5,000 per violation. It died June 2, 2025.

TX SB1822
Dead/Failed Medium Risk

Relating to the use of artificial intelligence-based algorithms in utilization review conducted for certain health benefit plans.

Texas SB 1822 (2025), as engrossed, would have added Insurance Code Sec. 4201.156 requiring health benefit plan issuers and their utilization review agents to disclose whether they use AI-based algorithms in utilization review, ensure the algorithm and its training data minimize bias and follow evidence-based clinical guidelines, and file an annual compliance statement by December 31. It passed the Senate, but no enrolled version exists, so it died June 2, 2025.

TX SB2966
Dead/Failed Medium Risk

Relating to establishing a framework to govern the use of artificial intelligence systems in critical decision-making by private companies and ensure consumer protections; authorizing a civil penalty.

Texas SB 2966 (2025), as introduced, would have added Business & Commerce Code Chapter 551 requiring a private company that uses an AI system to make a consequential decision, meaning one with a material, legal or similarly significant effect on a consumer, to establish a framework to govern the system's use to protect consumers. A company that violates it would be liable for a civil penalty not to exceed one dollar. No enrolled version exists, so it died June 2, 2025.

US HR1007
Introduced Low Risk

Expressing the sense of the House of Representatives with respect to the use of artificial intelligence in the financial services and housing industries.

A nonbinding House resolution stating that the House Financial Services Committee should lead policymaking on AI in the financial services and housing industries. It says the committee should promote a pro-consumer, pro-investor and pro-innovation culture, ensure regulators enforce existing laws including anti-discrimination laws, avoid rules that disproportionately burden smaller firms, consider reforms to financial privacy laws, strengthen AI cybersecurity standards and study AI's effect on the workforce. Financial Services approved it 54-0 on January 22, 2026 and reported it, as amended, on March 19, 2026.

NJ A3307
In Committee Medium Risk

Regulates artificial intelligence in news media industry; establishes "Artificial Intelligence In Communications Oversight Committee."

New Jersey's A3307 would regulate AI in the news media. News entities could use AI to assist staff but not replace them, and generative AI content would need a prominent label, source credit and an accuracy disclaimer. Civil penalties would be $10,000, $20,000 and then $30,000 per violation. It would also create the Artificial Intelligence In Communications Oversight Committee. Pre-filed for introduction in the 2026 session.

TN SB1261
Dead/Failed Medium Risk

AN ACT to amend Tennessee Code Annotated, Title 8, Chapter 27; Title 56 and Title 71, relative to health insurance.

Not law. SB 1261 would have regulated how Tennessee health insurers, TennCare and state employee plans use AI, algorithms and software in utilization review. Tools would have had to base decisions on the patient's own clinical history rather than group data alone, not replace provider judgment or discriminate, and be reviewed periodically. AI could not deny, delay or modify care based on medical necessity; only a licensed physician or qualified health professional could decide that. Violations would have been unfair claims practices, with a right to sue. It never left committee and died when the 114th General Assembly adjourned.

CT HB5590
Dead/Failed High Risk

An Act Prohibiting Health Insurers From Using Artificial Intelligence To Deny Health Insurance Claims.

Connecticut's HB 5590 (2025) was a short proposed bill with no operative text, stating its intent to amend the general statutes to prohibit any health insurer from using artificial intelligence to deny health insurance claims. It was referred to the Insurance and Real Estate Committee on January 21, 2025 and died when the 2025 session ended.

OK HB 1916
Dead/Failed Medium Risk

Artificial intelligence; Responsible Deployment of AI Systems Act; AI Council; AI Regulatory Sandbox Program; Artificial Intelligence Workforce Development Program; effective date.

Oklahoma's HB 1916 (2025-26), as introduced, would have created the Responsible Deployment of AI Systems Act, covering public agencies and private entities that deploy AI systems affecting people in Oklahoma. Deployers would classify AI systems by risk (unacceptable, high, limited, minimal), assess them, and subject high-risk systems to oversight, notices and audits. It was referred to the Rules Committee on February 4, 2025 and died when the 2026 session ended May 14, 2026.

OK SB1967
Dead/Failed Medium Risk

Hospital and Medical Services Utilization Review Act; requiring utilization review organization that uses AI to adhere to requirements; prohibiting AI from making certain determinations. Effective date.

Oklahoma's SB 1967 (2026), as introduced, would have amended the Hospital and Medical Services Utilization Review Act to set conditions on AI tools used in utilization review by review organizations and insurers, including that the tool not supplant provider decision-making; per the official bill summary, the tool could not deny a claim based on medical necessity. It was referred to a Senate committee February 3, 2026 and died when the session ended May 14, 2026.

MS SB2535
Dead/Failed Medium Risk

MS Future Innovators Act; enact to require high-school computer science or CTE with embedded computer science course.

Mississippi's SB 2535 (2025), the "MS Future Innovators Act," would have required public high school students entering ninth grade in 2027-2028 and after to earn one unit of credit in a computer science course or a career and technical education course with embedded computer science. The course would have to include instruction on emerging technologies such as artificial intelligence. This is the Senate-passed version (February 11, 2025); it died in House committee on March 4, 2025.

VA SB384
Enacted Low Risk

Artificial intelligence; framework for person/entity acting as an independent verification org.

Virginia's SB 384 directs the Joint Commission on Technology and Science (JCOTS) to study whether to create a framework for independent verification organizations that would assess whether AI models or applications follow best-practice standards for preventing personal injury and property damage. JCOTS weighs the risks of AI deployed in Virginia, measurable risk metrics, existing mitigation standards, other states' approaches and the fiscal impact; if it recommends a framework, it also studies licensing such organizations. Report due November 1, 2026. Identical to HB 797; effective July 1, 2026.

TN HB 2214
Dead/Failed Medium Risk

Criminal Offenses - As introduced, prohibits a person or entity from distributing an electoral deepfake within 90 days of an election that the person or entity knows or should have known is a deceptive and fraudulent depiction of a candidate or political party; creates civil penalties and outlines…

Tennessee's HB 2214 (114th General Assembly) would have barred a person, corporation, committee or other entity, within 90 days of an election, from distributing an electoral deepfake that it knows or should have known deceptively or fraudulently depicts a candidate for state or local office or the candidate's party, unless the media carries a required AI disclosure. County election commissions could impose civil fines of up to $1,000, $5,000 or $10,000. Companion: SB 2321. Not passed before the session ended in April 2026; last action: Taken off notice for cal in s/c Elections & Campaign Finance Subcommittee of State & Local Government Committee (March 10, 2026).

MS HB1003
Enacted Medium Risk

Mississippi Fully Autonomous Vehicle Enabling (MS FAVE) Act of 2023; establish to regulate operation of autonomous vehicle on public roads.

Mississippi's MS FAVE Act of 2023 lets fully autonomous vehicles run on public roads without a human driver if the system is engaged and the vehicle will reach a minimal risk condition if it fails, can obey traffic laws, and bears any federally required certification label. Operators must first file a law enforcement interaction plan and proof of insurance with the Department of Public Safety. The engaged system counts as the licensed driver; vehicles are registered and titled as autonomous; on-demand AV networks may operate; and state agencies and local governments cannot ban AVs or add AV-specific taxes, fees or rules. Effective July 1, 2023.

CA AB 302
Enacted

Department of Technology: high-risk automated decision systems: inventory.

California's AB 302 required the Department of Technology, by September 1, 2024, to inventory every high-risk automated decision system that state agencies use, develop or procure, or have proposed to, and to report it to two legislative committees by January 1, 2025 and annually after that; the reporting duty becomes inoperative January 1, 2029. High-risk systems assist or replace human decisions with legal or similarly significant effects, such as access to housing, education, employment, credit, health care and criminal justice. It applies only to state agencies. Signed October 13, 2023 (Chapter 800); effective January 1, 2024.

IL HB1806
Enacted High Risk

THERAPY RESOURCES OVERSIGHT

Illinois' Public Act 104-0054 (HB 1806) creates the Wellness and Oversight for Psychological Resources Act. No one may provide, advertise or offer therapy or psychotherapy services to the public in Illinois, including through Internet-based AI, unless a licensed professional conducts them. Licensed professionals may use AI only for administrative and supplementary support, need written notice and consent for supplementary-support AI on recorded or transcribed sessions, and may not let AI make independent therapeutic decisions, communicate therapeutically with clients or detect emotions or mental states. Civil penalties up to $10,000 per violation. Approved and effective August 1, 2025.

IL HB2472
Enacted Medium Risk

INS-ADVERSE DETERMINATION

Illinois' Public Act 103-0656 (HB 2472) is a broad health insurance act (explanation-of-benefits statements, prior authorization penalties, utilization review accreditation, adverse determinations). Its AI-related part covers algorithmic automated processes in utilization review: even when a plan or utilization review program uses one, only a clinical peer may make an adverse medical necessity determination or review an appeal. Programs using such processes must use objective, evidence-based criteria compliant with URAC or NCQA standards, set by board-certified physicians, and file proof with their registration. Approved July 19, 2024; effective January 1, 2025.

NY S06953
Enacted Medium Risk

Relates to the training and use of artificial intelligence frontier models; defines terms; establishes remedies for violations.

New York's RAISE Act (S 6953-B, Chapter 699 of 2025) as signed covered "large developers" spending over $100 million on compute, required safety protocols and set penalties up to $10 million, then $30 million. Chapter 96 of 2026 (signed March 27, 2026) repealed and replaced Article 44-B and set the effective date at January 1, 2027. From then, developers of frontier models (over 10^26 training operations) must publish transparency reports when deploying and report critical safety incidents to a Department of Financial Services office within 72 hours; those with over $500 million in revenue must also publish a frontier AI framework and file disclosure statements. Signed December 19, 2025.

NY S10241
Introduced High Risk

Relates to the use of artificial intelligence by insurers and clinical peer reviewers for utilization review; establishes additional notice requirements for adverse determinations.

New York's S 10241 (same as A 11048) would add Insurance Law § 338 and amend the Insurance and Public Health Laws to regulate insurers' use of AI-based algorithms in utilization review. Insurers would give written notice of AI use, submit the algorithms and training data to the superintendent, and could not base a denial, delay or modification of care solely on an algorithm; and, where AI is used, adverse determinations would come only from clinical peer reviewers. Referred to the Senate Insurance Committee May 8, 2026; it has not passed either chamber.

HI SB2167
Dead/Failed High Risk

Relating To The Hawaii Patients' Bill Of Rights And Responsibilities Act.

Hawaii's SB 2167 (2026) would have amended HRS chapter 432E, the Patients' Bill of Rights, to set prior authorization deadlines (one business day urgent, three non-urgent) and require that a denial initiated by an automated decision system be reviewed and co-signed by a board-certified specialist, with written notice to enrollees and providers whenever such a system is used. It was referred to HHS and CPN January 26, 2026 and died.

SD SB169
Dead/Failed Medium Risk

Place requirements on the use of artificial intelligence systems by health carriers in making determinations about the provision of health care services.

South Dakota's SB 169 (2026) would have required health carriers that use AI, algorithms or other software for utilization review to base determinations on the patient's clinical history and circumstances, not rely solely on a group dataset, and apply the tool consistently. AI tools could not deny, delay or modify a determination; only a licensed physician or qualified licensed health professional could make adverse determinations. Introduced January 29, 2026 and withdrawn by the prime sponsor February 17, 2026; it did not pass.

MD HB795
Dead/Failed Medium Risk

Health Insurance - Artificial Intelligence - Grievance Process and Reporting (AI Health Insurance Accountability Act of 2026)

Maryland's HB 795 (2026, the AI Health Insurance Accountability Act of 2026) would have required a carrier's internal grievance process to provide human review of adverse decisions made with AI, algorithms or other software tools, and added reporting of those grievances by claim type, member race, gender and profession, and policy type. It was introduced February 4, 2026, assigned to House Health, and withdrawn by its sponsor February 23, 2026, so it died.

NE LB642
Dead/Failed High Risk

Adopt the Artificial Intelligence Consumer Protection Act

Not law. Nebraska LB642, introduced by Senator Bostar, would have enacted the Artificial Intelligence Consumer Protection Act. Developers and deployers of high-risk AI systems that make consequential decisions without human review would have had to use reasonable care against algorithmic discrimination, with impact assessments, consumer notices and appeals, and Attorney General enforcement after a 90-day cure period. Indefinitely postponed April 17, 2026.

CT HB5587
Dead/Failed Medium Risk

An Act Prohibiting Health Insurers From Using Artificial Intelligence As The Primary Method To Deny Health Insurance Claims.

Connecticut's HB 5587 (Rep. Menapace) is a proposed bill that would amend the general statutes to prohibit any health insurer from using artificial intelligence as the primary method to deny health insurance claims. The text is a one-sentence statement of purpose with no definitions, penalties or procedures. Referred to the Joint Committee on Insurance and Real Estate January 21, 2025; it did not advance and died when the 2025 session ended.

CA SB928
Enacted Low Risk

California State University: faculty employees.

California's SB 928 (Education Code § 89500.3) requires the instructor of record for a California State University course to be a person who meets the trustees' rules for faculty teaching credit or noncredit instruction, and every CSU faculty employee, from professors and lecturers to librarians, counselors and coaches, to be a person meeting the trustees' rules for that position. AI appears in one clause: the section does not prohibit CSU employees from using artificial intelligence tools to assist CSU operations or to serve students. Signed August 27, 2026 (Chapter 149); effective January 1, 2027.

FL S0202
Dead/Failed High Risk

Mandatory Human Reviews of Insurance Claim Denials

Not law: died in committee. Florida's SB 202 would have created s. 627.4263, F.S., requiring that an insurer's decision to deny a claim or part of a claim be made by a qualified human professional who independently analyzes the facts and policy and reviews any AI or algorithm output. AI, machine learning or algorithms could not be the sole basis for adjusting or denying a claim. Denial notices would have had to name the human decision-maker, and the Office of Insurance Regulation could conduct market conduct examinations. It died in Banking and Insurance on March 13, 2026.

IL HB5918
Dead/Failed Medium Risk

AI USE IN HEALTH INSURANCE ACT

Illinois's HB 5918 (103rd General Assembly) would have created the Artificial Intelligence Systems Use in Health Insurance Act. An insurer could not issue an adverse consumer outcome (denial, reduction or termination of plans or benefits) resulting solely from an AI system or predictive model, and such decisions would need meaningful human review. It was not passed before the 103rd General Assembly ended (Session Sine Die, January 7, 2025).

CA AB2403
Dead/Failed Medium Risk

Income tax: credits: commercial production.

California's AB 2403 (2025-26 Regular Session) would have created a 20% or 30% income tax credit for qualified production costs above $500,000 for commercials produced in California, for taxable years from January 1, 2027 to before January 1, 2032. It would exclude commercials created entirely by generative AI or using generative AI or autonomous vehicles in ways that replace human job functions. Held in Senate Appropriations on August 13, 2026; not passed before the session ended.

VA HB310
Dead/Failed Medium Risk

Artificial Intelligence Workforce Impact Act; established, report.

Virginia's HB 310 (2026 Regular Session) would have created the Artificial Intelligence Workforce Impact Act. As introduced, state agencies would report quarterly to the Department of Human Resource Management on workforce impacts of AI systems; a subcommittee substitute would instead have required annual reports beginning January 1, 2028. The bill failed: left in House Appropriations Committee on February 18, 2026.

VA HB999
Dead/Failed High Risk

Virginia Human Rights Act; equal credit opportunities, Virginia Fair Housing Law, nondiscrimination.

Virginia's HB 999 (2026 Regular Session) would have made it an unlawful discriminatory practice to use an automated decision system in decisions under the Human Rights Act, equal credit law or Fair Housing Law that results in discrimination. The House General Laws substitute focused on credit. It failed: left in House Appropriations Committee on February 18, 2026.

VA HB697
Dead/Failed High Risk

Synthetic media; use in furtherance of crimes involving fraud, etc., report.

Virginia's HB 697 (2024 Regular Session) would have made it a Class 1 misdemeanor to use synthetic media to commit a criminal offense involving fraud, let the person depicted sue for actual damages and attorney fees, and had the Attorney General convene a work group on deepfake enforcement. It passed the House 98-0 but was continued to 2025 in Senate committee on February 19, 2024; it failed.

TN SB 2010
Dead/Failed Medium Risk

Insurance, Health, Accident - As introduced, creates the "Regulate Artificial Intelligence (AI) In Health Care Act." - Amends TCA Title 8, Chapter 27; Title 56 and Title 71.

Tennessee's SB 2010 (114th General Assembly), the "Regulate Artificial Intelligence (AI) in Health Care Act," would have barred, on or after July 1, 2026, a health insurance issuer that uses AI, an algorithm or other software tool for utilization review or management based in whole or in part on medical necessity from denying, delaying or modifying care on medical necessity grounds unless a licensed healthcare professional or provider reviews the prior authorization request. Companion: HB 1866. Not passed before the session ended in April 2026; last action: Assigned to General Subcommittee of Senate Commerce and Labor Committee (April 7, 2026).

TN HB1382
Dead/Failed Medium Risk

AN ACT to amend Tennessee Code Annotated, Title 8, Chapter 27; Title 56 and Title 71, relative to health insurance.

Tennessee's HB 1382 (114th General Assembly) would have required a health insurance issuer that uses AI, an algorithm or other software tool for utilization review or management based on medical necessity to ensure the tool bases decisions on the enrollee's clinical history and circumstances, does not rely solely on a group dataset, does not supplant provider decision-making, and does not discriminate or cause harm. Companion: SB 1261. Not passed before the session ended in April 2026; last action: Assigned to s/c Insurance Subcommittee (February 12, 2025).

TN SB1807
Dead/Failed Medium Risk

AN ACT to amend Tennessee Code Annotated, Title 29; Title 45; Title 47 and Title 66, relative to algorithmic pricing.

Tennessee's SB1807 (114th General Assembly) would have barred an entity from setting the price of a specific good or service for a consumer in Tennessee using personalized algorithmic pricing, meaning dynamic pricing set by an algorithm that uses personal data. A violation would have been an unfair or deceptive act under the Tennessee Consumer Protection Act of 1977. Insurers, certain financial institutions and some subscription prices were exempt. Companion: HB 1468. Not passed before the session ended in April 2026; last action: Assigned to General Subcommittee of Senate Commerce and Labor Committee (April 7, 2026).

GA HB715
Dead/Failed Medium Risk

Fair and Future Ready Housing Act; enact

Georgia's HB 715, the Fair and Future Ready Housing Act, would add Code section 8-3-224 to the fair housing law. Discriminatory housing practices resulting from AI or automated decision tools would be prohibited, reliance on such tools would not be a defense, and no person could use them to make sale, rental or financing determinations without individual review or without disclosing their use. After notice and hearing, the Attorney General could impose a penalty of up to $10,000 for violating subsection (c) or (d). The bill reached House Second Readers on March 6, 2025 and died when the session ended.

GA HB887
Dead/Failed High Risk

Insurance; use of artificial intelligence in making certain decisions regarding coverage; prohibit

Georgia's HB 887 (2023-2024 session) would have barred coverage determinations, healthcare actions and public-assistance decisions based solely on the results of AI or automated decision tools, and required that such decisions be meaningfully reviewed by an individual with authority to override the tool. It would also have required the Georgia Composite Medical Board to adopt rules, including for disciplining physicians who do not comply. The bill reached House Second Readers on January 11, 2024 and died when the 2023-2024 session ended.

GA SB164
Dead/Failed Medium Risk

Trade Practices; surveillance based price discrimination and surveillance based wage discrimination; prohibit

Georgia's SB 164 would add Article 37 to Title 10, Chapter 1, prohibiting 'surveillance based price discrimination' and 'surveillance based wage discrimination', meaning use of an automated decision system to set individualized prices or wages based on surveillance data about a consumer or worker. Defined exceptions would apply, such as cost-based price differences. According to its title, it would provide civil penalties and enforcement. The bill was read and referred on February 13, 2025 and died when the session ended.

OH HB579
In Committee Medium Risk

Regulate the use of artificial intelligence by health insurers

Ohio's HB 579, the House companion to SB 164 with identical text, would add section 3902.80 requiring health plan issuers to report annually to the superintendent of insurance on their use of AI-based algorithms in utilization review, and barring decisions about a covered person's care based solely on AI results. Medical necessity determinations would require a licensed physician or qualified provider. Introduced November 5, 2025; referred to the House Insurance Committee November 12, 2025.

IN SB0163
Enacted Medium Risk

Various property tax matters.

SB0163 regulates property tax inspections in Indiana, requiring taxpayer permission, details conditions for tax representatives, and mandates a report on automated valuation systems.

PA SB649
Enacted

An Act amending Title 18 (Crimes and Offenses) of the Pennsylvania Consolidated Statutes, in forgery and fraudulent practices, providing for the offense of digital forgery.

Pennsylvania's Act 35 of 2025 adds 18 Pa.C.S. 4101.1, digital forgery. A person commits it by generating or creating and distributing a "forged digital likeness" as genuine, knowing or having reason to know it is forged, with intent to defraud or injure anyone. A forged digital likeness is a computer-generated image or voice recording of a real, identifiable person that closely resembles a genuine one, materially misrepresents them, is likely to deceive, and is made and shared without consent. It took effect 60 days after approval (July 7, 2025).

SD HB1095
Enacted

An Act to establish provisions for the operation of automated motor vehicles.

South Dakota's 2024 HB 1095 creates a framework for automated motor vehicles. A fully autonomous vehicle (SAE J3016 level 4 or 5) may operate on public roads without a human driver if its automated driving system is engaged, it can reach a minimal risk condition when the system fails or leaves its operational design domain, and it can comply with traffic and safety laws. While engaged, the automated driving system is the driver. The act also covers on-demand autonomous vehicle networks, crash duties, insurance and registration. The act states no effective date.

AK HCR3
Dead/Failed Low Risk

Ai Legislative Task Force

Alaska's HCR 3 (2025-26) is a concurrent resolution and does not change the law. As the House Community and Regional Affairs committee substitute, it would have created a seven-member Joint Legislative Task Force on Artificial Intelligence (three senators, four representatives) to study AI in state government, the economy, ethics and privacy, and the workforce, and report by January 31, 2026. The committee reported it April 11, 2025; it went to Finance and died May 20, 2026.

LA HR317
Dead/Failed Low Risk

Creates a subcommittee of the House of Representatives to study artificial intelligence, blockchain, and cryptocurrency

Louisiana's HR 317 is a House resolution, adopted as amended 90-0 on June 10, 2025. Despite its short title, the adopted text does not create a subcommittee: it urges and requests the House Committee on Commerce to study the impact of artificial intelligence, blockchain and cryptocurrency on the state, hold its first meeting by September 1, 2025, hold public hearings that specifically seek advice from AI, blockchain and cryptocurrency professionals, and submit a written report of findings and recommendations by February 1, 2026. As a resolution of one chamber, it does not change the law.

US HB1734
Introduced Medium Risk

Preventing Deep Fake Scams Act

The federal H.R. 1734 (Preventing Deep Fake Scams Act) would create a Task Force on Artificial Intelligence in the Financial Services Sector, chaired by the Treasury Secretary, to report to Congress within 1 year of enactment on how banks and credit unions protect themselves and consumers from fraud using AI, AI risks from bad actors, best practices and recommendations. Introduced February 27, 2025 and referred to the House Financial Services Committee; no further action.

NY A10364
In Committee Medium Risk

Requires certain disclosures by automobile insurers relating to the use of telematics systems in determining insurance rates and/or discounts.

New York's A 10364 would amend Insurance Law § 2313 and add § 2304-a so that insurers that offer or use telematics systems (technology that monitors, stores and transmits information such as vehicle location, driver behavior, engine performance and activity), and their third-party developers or vendors, would have to explain to the Superintendent how the factors in their model or algorithm relate to risk, publicly disclose scoring methodologies and let consumers request access to their data; vendors would have to also file their model or algorithm with the Superintendent. Referred to Insurance March 2, 2026; it has not passed either chamber.

NY A09219
In Committee Medium Risk

Requires experts in professional fields to be consulted when developing and maintaining artificial intelligence technology for use in such fields.

New York's A 9219 would add General Business Law §§ 1710 to 1715. A developer of AI intended for a professional domain regulated under Title Eight of the Education Law would have to show that a licensed professional domain expert with three or more years of experience was directly and substantially involved in design, data and training, validation and ongoing risk assessment, and submit documentation to the Attorney General. Penalties up to $50,000 per violation. Would take effect one year after it becomes law. Referred to Science and Technology November 3, 2025 (and January 7, 2026); it has not passed either chamber.

TX HB4635
Dead/Failed Medium Risk

Relating to disclosure of the use of artificial intelligence in the denial of insurance claims.

Texas HB 4635 (Rep. Garcia Hernandez) would have required an insurer or health maintenance organization that denies a claim based on a determination made by artificial intelligence to give the claimant, with the denial notice, a written disclosure that AI made the determination, its basis, and instructions on appealing. It would apply to claims submitted on or after September 1, 2025. Left pending in House Insurance Committee May 7, 2025; it died when the session ended.

NY A04427
In Committee High Risk

Prohibits the use of external consumer data and information sources being used when determining insurance rates; provides that no insurer shall unfairly discriminate based on race, color, national or ethnic origin, religion, sex, sexual orientation, disability, gender identity, or gender…

New York's A 4427 would add Insurance Law § 2403-a barring insurers from unfairly discriminating on protected characteristics and, under Superintendent rules, from using external consumer data, algorithms or predictive models in ways that do. The Superintendent would run a stakeholder process and adopt rules requiring insurers to disclose data sources, keep a risk framework and file officer attestations; commercial lines are largely exempt. Would take effect on the 180th day after becoming law. Referred to Insurance February 4, 2025 and January 7, 2026; it has not passed either chamber.

RI H8073
Dead/Failed Medium Risk

Provides that health insurance plans would provide coverage the use of artificial intelligence technology for analysis of breast tissue diagnostic imaging.

Rhode Island H 8073 (2024), as introduced on March 15, 2024, would require individual and group health insurance contracts and plans delivered, issued or renewed in Rhode Island on or after January 1, 2025 to cover the use of AI technology for analysis of breast tissue diagnostic imaging, provided a physician qualified to read such imaging independently reviews and approves the imaging and the AI review. The same text is added in four insurance chapters. The text says it takes effect upon passage.

TX SB 441
Enacted

Relating to criminal and civil liability related to sexually explicit media and artificial intimate visual material; creating a criminal offense; increasing a criminal penalty.

Texas's SB 441 widens the Penal Code § 21.165 crime from deep fake videos to any deep fake media made or altered with AI or other technological means. Knowingly producing or distributing sexually explicit deep fake media of a person without signed written consent is a Class A misdemeanor, or a third-degree felony for a repeat offense or a depicted minor. Intentionally threatening to produce or distribute deep fake media to coerce, extort, harass or intimidate is a new offense. It adds civil liability for AI intimate images, including against nudification app owners, and requires websites and apps to honor removal requests within 72 hours. Signed June 20, 2025; effective September 1, 2025.

LA SB362
Dead/Failed Medium Risk

Provides that surveillance-based price discrimination is an unfair or deceptive trade practice or act. (8/1/26)

Louisiana's SB362 would have made 'surveillance-based price discrimination' an unfair or deceptive trade practice, so that no person could engage in it. The bill defines surveillance data, behaviors and biometrics, mentions automated decision systems, and exempts cost-based price differences, equal-terms discounts and credit refusals based on a Fair Credit Reporting Act report. It was considered in committee April 22, 2026 and died.

MN SF4618
Dead/Failed Medium Risk

Operation of certain autonomous vehicles and on-demand autonomous vehicle networks authorization

Not law. Minnesota's SF 4618 (1st engrossment) would have created Minn. Stat. chapter 169B letting autonomous vehicles operate with commissioner of public safety authorization, requiring at least $10,000,000 combined single limit liability coverage and independent safety verification for driverless operation. Commercial and on-demand network operations would stay prohibited until a task force reports and a permit process exists. It was re-referred to Judiciary and Public Safety on April 7, 2026.

NV AB295
Dead/Failed High Risk

Revises provisions relating to health insurance. (BDR 57-238)

Nevada's AB 295 (2025) would have set prior authorization deadlines for health carriers (5 days non-urgent, 48 hours urgent, replacing 20 days) and required carriers using AI or automated decision tools for prior authorization to notify insureds in writing, and barred using AI to make adverse determinations or reduce or modify approved care unless a physician (or dentist) independently reviews the request. Carriers would report annually. Under Joint Standing Rule 14.3.1 no further action was allowed after April 12, 2025, so it died.

IN HB1201
Dead/Failed High Risk

Various mental health and insurance matters.

Indiana's HB 1201 (2026) would have barred using an AI system to impersonate or substitute for a licensed mental health professional in interactions that must be performed by one (discipline under IC 25-1-9; a board could impose a civil penalty of up to $5,000 per violation). It also covered insurance: downcoding limits, mental health reimbursement parity with medical providers relative to Medicare, a 180-day audit and recoupment window, and out-of-network balance-billing limits. Referred to the Insurance Committee January 5, 2026; it was not passed before the 2026 session ended.

MN HF2432
Enacted

Judiciary, public safety, and corrections policy and finance bill (Laws 2025, chapter 35), including article 4, section 12 on child sexual abuse material created with generative artificial intelligence

Minnesota's 2025 judiciary and public safety omnibus (Laws 2025, chapter 35) brings AI-generated material into the state's child sexual abuse material laws. Article 4, section 12 amends Minn. Stat. 617.246, subd. 1: child sexual abuse material now includes any visual depiction, including a computer-generated image, of an individual indistinguishable from an actual minor created with generative AI or other prompt-driven computer technology engaging in sexual conduct, if obscene. Article 4, section 13 gives interactive computer services and telecommunications providers immunity for specified actions tied to the new AI-material offense. The rest of the act is not AI-related.

MN HF4772
Enacted

Elections policy and finance bill (Laws 2024, chapter 112), including article 2, sections 63-64 and 76-78 amending the election deep fake crime (Minn. Stat. 609.771)

Minnesota's 2024 elections omnibus (Laws 2024, chapter 112) rewrites parts of the 2023 election deep fake crime, Minn. Stat. 609.771. Under article 2, section 76, disseminating a deep fake of a candidate without consent to injure the candidate or influence an election is a crime if done with knowledge or reckless disregard that it is a deep fake, within 90 days before a party nominating convention or after absentee voting begins; broadcasters required by federal law to air a candidate's ad are exempt. Sections 63-64 and 77 require a convicted candidate to forfeit the nomination or office and bar appointment to it, and section 78 revises who may seek injunctive relief.

MN SF4760
Enacted

Omnibus Public Safety policy bill (Laws 2026, chapter 97), including article 3, section 3 adding forged digital likenesses to the identity theft statute (Minn. Stat. 609.527)

Minnesota's Laws 2026, chapter 97 (public safety policy) brings deepfakes into identity theft law. Article 3, section 3 amends Minn. Stat. 609.527, subd. 1 to define a "forged digital likeness": a recording, image or photograph (or a technological representation derived from one) created or altered in a way that depends substantially on technical means, that misrepresents a person's appearance, speech or conduct and is realistic enough that a reasonable person would believe it depicts the actual individual. A forged digital likeness is added to the definition of identity, so using one with intent to commit an unlawful act falls under identity theft. The rest of the act is not AI-related.

MN HF4188
Enacted

Commerce policy bill (Laws 2026, chapter 124), including article 3, section 6 barring utilization review organizations from using artificial intelligence exclusively to make adverse determinations

Minnesota's 2026 commerce omnibus (Laws 2026, chapter 124) adds an AI rule to the state's utilization review law. Article 3, section 6 amends Minn. Stat. 62M.09, subd. 3 to prohibit a utilization review organization from exclusively using artificial intelligence to make an adverse determination on coverage of benefits; a clinician must review the denial. AI may still be used in other parts of the review process. Article 1, section 61 also routes civil penalties under the 2026 nudification ban to the victims of crime account. The rest of the act is not AI-related.

WA HB2676
Enacted

Establishing minimum requirements for the testing of autonomous vehicles.

Washington's Chapter 182, Laws of 2020 (ESHB 2676) sets minimum rules for testing autonomous vehicles on public roads under the Department of Licensing self-certification pilot program. Testers must carry at least $5 million in umbrella liability insurance (RCW 46.30.050). From October 1, 2021 (RCW 46.92.010), they must give the department contact details, testing locations and vehicle IDs, report collisions and moving violations annually, and notify local police or the State Patrol 14 to 60 days before testing. The department publishes the information and reports to the Legislature.

GA SB78
Enacted

An Act to amend Part 3 of Article 3 of Chapter 11 of Title 16 of the Official Code of Georgia Annotated, relating to invasion of privacy, so as to revise the prohibition on electronically transmitting or posting nude or sexually explicit photographs or videos for purposes of harassing the depicted person; to provide for an increased penalty for the electronic transmission or posting to a web page that is accessible to the general public; to provide for related matters; to repeal conflicting laws; and for other purposes.

Georgia's SB 78 toughens the law against sharing nude or sexually explicit images of an adult without consent, including falsely created videos or still images such as deepfakes. Under the revised O.C.G.A. 16-11-90, posting such an image to harass the person or cause them financial loss is a felony (1 to 5 years, up to $100,000) when it is sent to a website that advertises or promotes sexually explicit content. Sharing by other electronic means stays a high and aggravated misdemeanor for a first offense and becomes a felony for repeat offenses. The law keeps the exemption for platforms hosting content posted by others.

AZ SB1295
Enacted

An Act amending section 13-2006, Arizona Revised Statutes; relating to forgery.

Arizona's SB 1295 (Laws 2025, Ch. 184) adds a new form of criminal impersonation to A.R.S. 13-2006: using a computer-generated voice recording, image or video of another person with intent to defraud others. It is a class 5 felony, one level above the other impersonation offenses. "Defraud" means a false statement or omission of a material fact made to deceive and obtain a benefit. Parody, artistic works and content where it is clear to a reasonable listener or viewer that it was digitally manipulated are excluded.

CO SB189
Enacted High Risk

Automated Decision-Making Technology

Colorado's SB 26-189 repeals and reenacts the 2024 AI Act as rules for automated decision-making technology (ADMT) that materially influences consequential decisions such as hiring, lending, housing and health care. Developers must document covered ADMT for deployers; deployers must give notice before use, explain adverse outcomes within 30 days and, on request, give correction steps and, where commercially reasonable, human review. Signed May 14, 2026 (Chapter 131); applies from January 1, 2027. A stipulated April 27, 2026 order in X. AI LLC v. Weiser bars AG enforcement of 2026 laws replacing SB 24-205 for violations through 14 days after a ruling on xAI's planned injunction motion.

KS SB313
Enacted

AN ACT concerning motor vehicles; relating to autonomous motor vehicles; providing for the use and regulation thereof; establishing the autonomous vehicle advisory committee; amending K.S.A. 2021 Supp. 8-2106 and 8-2204 and repealing the existing sections.

Kansas SB 313 (L. 2022, ch. 93, K.S.A. 8-2901 et seq.) authorizes driverless-capable vehicles. A vehicle with an automated driving system that can perform the entire driving task and reach a minimal-risk condition may operate without a human driver, subject to conditions such as a human on board during the first year for vehicles with manual controls and a law-enforcement interaction plan filed with the Highway Patrol. Owners must carry insurance and meet crash duties; the Highway Patrol regulates and local rules are preempted. An autonomous vehicle advisory committee reports yearly.

DC B23-0232
Enacted

Autonomous Vehicles Testing Program Amendment Act of 2020 (D.C. Law 23-156)

D.C. Law 23-156, the Autonomous Vehicles Testing Program Amendment Act of 2020, amends the Autonomous Vehicle Act of 2012 (D.C. Code 50-2351 et seq.). It defines an autonomous driving system and autonomous vehicle and has the District Department of Transportation run a testing program: no one may test or operate an autonomous vehicle on a District roadway without an AV testing permit. Applicants submit a safety and risk-mitigation assessment, operational design domain and certifications, and must be able to cover a $5 million judgment. Testing entities report crashes and file periodic reports.

VA HB797
Enacted Low Risk

Artificial intelligence; framework for person/entity acting as an independent verification org.

Virginia's HB 797 directs the Joint Commission on Technology and Science (JCOTS) to study whether to create a framework for independent verification organizations that would assess whether AI models or applications follow best-practice standards for preventing personal injury and property damage. JCOTS weighs the risks of AI deployed in Virginia, measurable risk metrics, existing mitigation standards, other states' approaches and the fiscal impact; if it recommends a framework, it also studies licensing such organizations. Report due November 1, 2026. Identical to SB 384; effective July 1, 2026.

OK HB3675
Dead/Failed Medium Risk

Health insurance; review agents; artificial intelligence system; adverse determinations; effective date.

Oklahoma's HB 3675 (2026), as introduced, would have required a qualified human professional to review any adverse determination made by an algorithm, AI system or automated decision system in utilization review before it is finalized, let the Insurance Commissioner audit use of such systems, and required adverse-determination notices to give reasons and appeal rights. It was referred to the Rules Committee February 11, 2026 and died when the session ended May 14, 2026.

DC B25-0577
Enacted

Public Life and Activity Zones Amendment ("PLAZA") Act of 2024 (D.C. Law 25-312)

Section 6 of D.C. Law 25-312, the PLAZA Act of 2024, amends the Autonomous Vehicle Act of 2012. No person or entity may test or operate an autonomous vehicle on a District roadway without an AV testing permit. Until DDOT makes the permit application available, testing is allowed only with a test operator ready to take over and with electronic notice to DDOT at least 10 business days ahead. DDOT may restrict testing for non-compliance, emergencies, special events or safety, reporting becomes quarterly, and the grandfather clause for earlier operators is repealed. The rest of the act is about public space, not AI.

KS HB2591
Enacted Medium Risk

Authorizing financial institutions to report suspected financial exploitation of an adult account holder to a designated agency, notify any adult designated as a trusted contact by such account holder of suspected financial exploitation and place a temporary hold on certain transactions or…

HB2591 authorizes financial institutions to report suspected financial exploitation, regulate virtual currency kiosks, address insolvency of technology-enabled fiduciary financial institutions, and eliminate certain stipulations on negotiable instruments.

WV HB4787
Enacted

AN ACT to amend the Code of West Virginia Code, 1931, as amended, by adding thereto a new chapter, designated §17H-1-1, §17H-1-2, §17H-1-3, §17H-1-4, §17H-1-5, §17H-1-6, §17H-1-7, §17H-1-8, §17H-1-9, §17H-1-10, §17H-1-11, §17H-1-12, §17H-1-13, §17H-1-14, and §17H-1-15, all relating to establishing the Fully Autonomous Vehicle Act; defining terms; providing for construction of the act; providing requirements for the operation of fully autonomous vehicles without a human driver and with a human driver; providing for the operation of on-demand autonomous vehicle networks; providing for the operation of fully autonomous commercial and motor vehicle carriers; providing for the platooning of fully autonomous vehicles; providing for licensing, titling, registration, and insurance requirements of fully autonomous vehicles; providing for control and regulation of fully autonomous vehicles; providing for equipment standards for fully autonomous vehicles; and providing duties following a crash involving fully autonomous vehicles.

West Virginia's Fully Autonomous Vehicle Act (new Chapter 17H) authorizes self-driving vehicles on public roads. A fully autonomous vehicle may run without a human driver if its automated driving system can reach a minimal risk condition on failure, and the operator first files a law enforcement interaction plan with the Division of Highways/DOT and proves insurance or self-insurance to the DMV. The act also covers on-demand autonomous vehicle networks, autonomous commercial vehicles, three-vehicle platooning, crash duties and equipment standards, and bars local governments from banning or separately taxing autonomous vehicles.

VT S0205
Dead/Failed High Risk

An act relating to a temporary moratorium on AI data centers and a report on the construction and operation of AI data centers in Vermont

Vermont's S.205 (2025-2026 biennium) would have barred any person from operating an AI data center, or starting site preparation or construction of one, in Vermont before July 1, 2030. An AI data center is a facility requiring more than 100 megawatts of new load for AI inference, training, simulation or synthetic data generation. The Public Utility Commission would have investigated and reported by January 15, 2027. It was referred to Senate Finance on January 6, 2026 and died when the biennium ended.

ME LD1301
Dead/Failed Medium Risk

An Act to Prohibit the Use of Artificial Intelligence in the Denial of Health Insurance Claims

Not law. Maine's LD 1301 would have set conditions, beginning January 1, 2026, on health insurance carriers and their contractors that use artificial intelligence in medical or utilization review decisions to approve, deny, delay or modify coverage. Despite its title, it did not ban AI. AI determinations would have had to rest on the enrollee's medical history and clinical circumstances and not supplant provider decision-making, and could not discriminate. Any denial, delay or modification based on medical necessity would have needed a clinical peer. The committee voted Ought Not To Pass on January 14, 2026; final disposition January 27, 2026.

CT SB1295
Enacted

An Act Concerning Broadband Internet, Gaming, Social Media, Online Services and Consumer Contracts

Public Act 25-113 overhauls the Connecticut Data Privacy Act's rules on automated decision-making. From July 1, 2026, consumers can opt out of profiling used for any automated decision with legal or similarly significant effects (housing, insurance, health care, employment, financial services and more), question the result and learn why the decision was made, and for housing decisions correct inaccurate data. Controllers that profile for such decisions must complete impact assessments (for processing created on or after Aug. 1, 2026), and privacy notices must state whether personal data is collected, used or sold to train large language models.

IA SF302
Enacted

An Act relating to motor vehicles operated by an automated driving system, and making penalties applicable.

Iowa's 2019 Acts chapter 75 (SF 302), codified at Iowa Code 321.514 to 321.519, sets rules for vehicles driven by an automated driving system, defined as the hardware and software collectively capable of performing the entire dynamic driving task on a sustained basis. A driverless-capable vehicle may operate on public highways with no human driver if it can reach a minimal risk condition after a system failure, can follow state traffic and safety laws, and is certified as meeting federal motor vehicle safety standards. Owners must carry liability coverage, and crashes must be reported. Driverless on-demand networks are allowed, and local governments may not add their own rules or taxes.

WA SB5395
Enacted Low Risk

Making improvements to transparency and accountability in the prior authorization determination process.

Chapter 157, Laws of 2026 regulates AI in health insurance prior authorization (RCW 48.43.830 for carriers and RCW 41.05.845 for public employee plans). AI may not be the sole means of denying, delaying or modifying care, and algorithms may approve requests but may not deny care for medical necessity without human review. A carrier using AI must base decisions on the enrollee's clinical history and individual clinical circumstances, not solely on group data; avoid discrimination; open its AI policies to audit by the Insurance Commissioner; and periodically review AI performance. Carriers must report the share of denials aided by AI (RCW 48.43.0161).

OK SB2038
Dead/Failed Medium Risk

Health Insurance; prohibiting issue of outcomes with AI; requiring decisions to be made by provider; requiring disclosures. Emergency.

Oklahoma's SB 2038 (2026), as introduced, would have barred a health insurance issuer from issuing an adverse consumer outcome (denial, reduction or termination of coverage or benefits) that results from an AI system, required a licensed professional to review and issue such final decisions, and required a disclosure notice. It was referred to a Senate committee February 3, 2026 and died when the session ended May 14, 2026.

AL SB226
Enacted

Motor vehicles, use of motor vehicles equipped with an automated driving system.

Alabama's SB 226 (Act 2024-453) allows vehicles equipped with an automated driving system (ADS) to run on public roads without a conventional human driver on board if the vehicle can reach a minimal risk condition. A fully autonomous vehicle (SAE Level 4 or 5) may operate only with proof of at least $100,000 single-limit liability coverage. The act sets duties after a crash involving a driverless ADS vehicle (staying at the scene and giving registration and insurance details) and covers on-demand autonomous vehicle networks. Approved May 17, 2024; effective October 1, 2024.

CA SB1120
Enacted

Health care coverage: utilization review.

SB 1120 amended Health and Safety Code 1367.01 and Insurance Code 10123.135. Health plans and disability insurers that use an AI, algorithm or other software tool for utilization review must ensure it bases decisions on the enrollee's medical history and clinical circumstances, is applied fairly and equitably, does not supplant provider decisionmaking, and is open to inspection and review. Denials, delays or modifications for medical necessity must be made by a licensed physician or qualified health professional, not by the tool alone.

IL HB5395
Enacted

NETWORK ADEQUACY-STANDARDS

The Health Care Protection Act is a broad health insurance reform covering network adequacy, prior authorization, step therapy and short-term plans. Its automated decision provision amends Section 85 of the Managed Care Reform and Patient Rights Act (215 ILCS 134/85) on utilization review programs. Only a clinical peer may make adverse medical necessity determinations. A health care professional, an accredited algorithmic automated process, or both together may certify (approve) medical necessity in line with accreditation standards, and an automated process may be used to refer a case to a clinical peer for a possible denial. Effective January 1, 2025.

TX SB2373
Enacted

Relating to financial exploitation or financial abuse using artificially generated media or phishing communications; providing a civil penalty; creating a criminal offense.

Texas SB 2373 (2025) targets deepfake scams. It defines artificially generated media as images, audio, video, text or other media created or modified with AI or other software with intent to deceive. A person harmed by knowing or intentional dissemination of such media or phishing for financial exploitation may sue for damages, profits, fees and injunctions; the attorney general may seek up to $1,000 per day; and new Penal Code 32.56 makes financial abuse through such media or phishing a crime graded by amount, up to a first-degree felony. Platforms and broadcasters are exempt for others' content. Effective September 1, 2025.

CO SB21-169
Enacted

Concerning protecting consumers from unfair discrimination in insurance practices.

Colorado SB 21-169 bars insurers from unfairly discriminating based on race, color, national or ethnic origin, religion, sex, sexual orientation, disability, gender identity or gender expression in any insurance practice, and from using external consumer data and information sources, algorithms or predictive models that unfairly discriminate. An algorithm is a computational or machine learning process that informs human decision making in insurance practices. Commissioner rules, effective no earlier than 2023, require insurers to disclose data sources, maintain a risk-management framework, test outcomes and file attestations. Title insurance, surety and most commercial lines are exempt.

RI H8060
Enacted

Relating to Criminal Offenses -- Impersonation and Identity Fraud

Rhode Island's 2026 identity fraud amendment defines a forged digital likeness as a computer- or other electronic system-generated visual representation of an identifiable person, or an audio recording of their voice, made to closely resemble a genuine one, likely to deceive, and created and distributed without consent. Digital forgery, knowingly creating or distributing such a likeness as genuine to facilitate fraud, is now felony identity fraud under 11-49.1-3(a)(8). The act also covers impersonating an entity with intent to defraud. Constitutionally protected activity, law enforcement and providers or developers of the underlying technology are excepted. Effective on passage.

RI S3338
Enacted

Relating to Criminal Offenses -- Impersonation and Identity Fraud

Rhode Island's 2026 identity fraud amendment defines a forged digital likeness as a computer- or other electronic system-generated visual representation of an identifiable person, or an audio recording of their voice, made to closely resemble a genuine one, likely to deceive, and created and distributed without consent. Digital forgery, knowingly creating or distributing such a likeness as genuine to facilitate fraud, is now felony identity fraud under 11-49.1-3(a)(8). The act also covers impersonating an entity with intent to defraud. Constitutionally protected activity, law enforcement and providers or developers of the underlying technology are excepted. Effective on passage.

MD HB504
Enacted

Excellence in Maryland Public Schools Act

Maryland HB 504 (2025), the Excellence in Maryland Public Schools Act, is a broad education bill with one AI provision. Section 4 provides that, from the 2025-2026 through the 2027-2028 school year, the digital-tool nonvisual and equivalent-access requirements of Education 7-910 do not apply to the procurement and use of a digital tool that uses artificial intelligence, as defined in State Finance and Procurement 3.5-801, to support student learning. Section 4 remains effective for three years and is abrogated after June 30, 2028. Effective July 1, 2025.

GA SB337
Enacted

Invasion of Privacy; prohibition against the transmission of photography depicting nudity; include falsely created videographic or still images

Georgia's SB 337 (Act 550 of 2020) brings fake intimate images into the state's nonconsensual pornography law. O.C.G.A. 16-11-90 already made it a crime to knowingly transmit or post, without consent, a photo or video showing an adult's nudity or sexually explicit conduct when it harasses or causes financial loss to the person depicted and serves no legitimate purpose to them. The act adds that this includes a falsely created videographic or still image, which covers deepfakes and other fabricated images. Interactive computer services and telecommunications providers are not liable for content posted by others. It took effect on the Governor's approval.

NY A01273
In Committee Medium Risk

Prohibits motor vehicle insurers from discrimination on the basis of socioeconomic factors in determining algorithms used to construct actuarial tables, coverage terms, premiums and/or rates.

New York's A 1273 (2025-2026) would add Insurance Law section 2619 barring motor vehicle insurers from using classification plans, rules, rates or rating plans based in whole or in part on listed factors (age, marital status, sex, sexual orientation, education, occupation, income, credit information, real property ownership, price elasticity of demand and other socioeconomic indicators). It would also make it unlawful to use them to adjust "any algorithm or equation" used to construct actuarial tables. Referred to Insurance January 7, 2026; it has not passed either chamber.

VA HB437
Enacted

Insurance; standards of conduct for public adjusters, unauthorized practice of public adjusting.

Virginia HB 437 (Chapter 142 of 2026) tightens rules for public adjusters, who negotiate property insurance claims for policyholders. Its AI-relevant provision is Va. Code § 38.2-1845.23 D: a written or electronic ad that uses an unlicensed spokesperson must say the person is a paid or unpaid, unlicensed spokesperson endorsing the adjuster, and "shall also disclose if a computer-generated digital avatar is used." The licensed adjuster named in the ad must personally review it. The rest of the act covers unlicensed adjusting, assignment of benefits and conduct toward vulnerable adults. Effective July 1, 2026.

HI HB1797
Dead/Failed Medium Risk

Relating To Autonomous Vehicles.

Hawaii's HB 1797 HD 1 (2026) would have required any automated vehicle that a motor carrier uses to transport passengers to have a supervisor on board at all times, with the carrier ensuring each supervisor is licensed and running a training program. It would also have created an income tax credit of 35% of qualified training expenses. It passed second reading in the House February 10, 2026 and was referred to CPC, but was not enacted.

NY S06751
In Committee Medium Risk

Excludes a production using artificial intelligence or autonomous vehicles in a manner which results in the displacement of employees whose salaries are qualified expenses from the definition of qualified film for the purposes of the empire state film production credit.

New York's S 6751 would amend Tax Law § 24 so that a production using artificial intelligence or autonomous vehicles in a manner that results in the displacement of employees whose salaries are qualified expenses is not a "qualified film" for the Empire State film production credit, unless a current collective bargaining agreement covering those employees permits the replacement. It creates no direct duty or penalty; the consequence is ineligibility for the credit. Referred to committee January 7, 2026.

CT SB817
Dead/Failed Medium Risk

An Act Prohibiting Health Insurers From Using Software Tools To Automatically Downcode Health Insurance Claims.

Connecticut's Proposed SB 817 (2025), introduced by Sen. Looney, would have amended title 38a of the general statutes to prohibit any health insurer from using a software tool, including artificial intelligence or an algorithm, to automatically downcode or deny a health insurance claim submitted by a health care provider without detailed review by a clinical peer. The filed text is a brief proposed bill with a statement of purpose. Referred to the Joint Committee on Insurance and Real Estate January 21, 2025; it died when the 2025 session ended.

FL H0311
Enacted Medium Risk

Autonomous Vehicles

Florida's HB 311 lets fully autonomous vehicles operate in Florida whether or not a human operator is in the vehicle, needing no licensed human operator, and deems the automated driving system the operator when engaged. Fully autonomous vehicles must be able to reach a minimal risk condition if the system fails. On-demand autonomous vehicle networks follow transportation network company law, with $1 million primary liability, PIP and uninsured motorist coverage while logged on. Local governments may not impose taxes, fees or other requirements on autonomous vehicles. Approved June 13, 2019 (Chapter 2019-101); effective July 1, 2019.

NJ A5164
Dead/Failed Medium Risk

Regulates artificial intelligence in news media industry; establishes "Artificial Intelligence In Communications Oversight Committee."

New Jersey's A5164 would regulate AI in the news media. News entities could use AI to assist staff but not replace them, and generative AI content would need a prominent label, source credit and an accuracy disclaimer. Civil penalties would be $10,000, $20,000 and then $30,000. Introduced January 14, 2025. A bill of the Legislature's 2024-2025 session, which ended January 13, 2026.

KS SB467
Dead/Failed Medium Risk

Enacting the use of artificial intelligence in medical decisions transparency act and requiring that all medical necessity determinations be made by a competent licensed physician or healthcare professional.

Kansas's SB 467 (2026) would have enacted the Use of Artificial Intelligence in Medical Decisions Transparency Act. Health insurers and utilization review organizations using AI, algorithms or software tools for utilization review would have had to ensure the tool bases decisions on the enrollee's clinical information and does not supplant provider decision-making, and the tool could not deny, delay or modify care on medical necessity; only a licensed physician or competent licensed professional could. Referred to committee February 4, 2026; Died in Committee April 10, 2026.

MD SB957
Dead/Failed Medium Risk

Labor and Employment – Automated Employment Decision Tools – Prohibition

Maryland's SB 957 (2024) would have barred employers from using automated employment decision tools to screen applicants or decide terms of employment unless the tool passed a yearly impact assessment finding no high-risk action, and required employers to notify affected applicants within 30 days of use. Civil penalties would start at up to $500 per violation. A Senate Finance hearing was set for March 14, 2024; it went no further and died when the session ended.

MO SB1050
Dead/Failed Low Risk

Creates new provisions governing autonomous vehicles

Missouri's SB 1050 would let a person operate a fully autonomous vehicle on public roads without a human driver while the automated driving system is engaged, if the vehicle can reach a minimal risk condition after a system failure, can comply with state traffic laws, and carries any federally required certification label. Operators would have to show proof of insurance or self-insurance, and local governments could not ban or specially tax these vehicles. A Senate committee hearing was held January 27, 2026; the bill died when the 2026 regular session ended in May 2026 without being truly agreed to and finally passed.

MD SB1087
Dead/Failed Medium Risk

Maryland Artificial Intelligence Advisory and Oversight Commission

Maryland's SB 1087 (2024) would have created a 10-member Maryland Artificial Intelligence Advisory and Oversight Commission (new State Finance and Procurement section 3.5-205) to guide the State in growing, developing, using and diversifying AI, with reports to the Governor and General Assembly by December 1, 2024 and annually. A Senate committee hearing was set for February 22, 2024; it went no further and died when the session ended.

NJ A4710
In Committee Low Risk

"Clean Energy AI Incentivization Act"; directs BPU to incentivize artificial intelligence centers to bring their own self-sufficient, clean energy.

New Jersey's A 4710, the "Clean Energy AI Incentivization Act", would direct the Board of Public Utilities to set responsible infrastructure development standards for AI data centers, including that owners or operators build energy generation to meet the data center's needs, and to create a program, including tax credits, to incentivize construction of data centers that meet them. Introduced March 16, 2026 and referred to the Assembly Science, Innovation and Technology Committee; it has not passed either house.

MD HB697
Dead/Failed Medium Risk

Health Insurance - Artificial Intelligence, Adverse Decisions, and Grievances - Reporting Requirements

Maryland's HB 697 (2025) would have required each health insurance carrier to report quarterly to the Insurance Commissioner on how it creates, deploys and uses artificial intelligence or automated decision-making systems (new Insurance section 15-147), and expanded the demographic and call-center data carriers report on grievances and adverse decisions (section 15-10A-06). The sponsor withdrew it on February 17, 2025, after a canceled February 13 hearing.

MD HB740
Dead/Failed Medium Risk

Election Law - Campaign Materials - Disclosure of Use of Synthetic Media

Maryland's HB 740 (2025) would have required candidates, campaign finance entities, certain registrants and their agents to include a disclosure when they distribute campaign material made with or containing synthetic media (an image, audio or video intentionally manipulated with generative AI or other digital technology to create a realistic but false depiction of a real individual's appearance, speech or conduct) to anyone in Maryland. Violations would have been a misdemeanor (fine up to $1,000, up to 1 year, or both). A hearing was set for February 11, 2025; it went no further and died when the session ended.

MD HB1477
Dead/Failed High Risk

Consumer Protection - Consumer Reporting Agencies - Use of Algorithmic Systems

Maryland's HB 1477 (2025) would have added Commercial Law section 14-1228 for consumer reporting agencies that use algorithmic systems to assemble or evaluate consumer information. They would have had to give plain-language explanations, keep a public registry of algorithms, meet error-rate and accuracy thresholds, get quarterly third-party bias audits, and have all automated evaluations reviewed by a human within 24 hours. It was introduced February 7, 2025, its March 4 hearing was canceled, and it died when the session ended.

HI SB2953
Dead/Failed Medium Risk

Relating To Insurance.

Hawaii's SB 2953 (2026) would have set rules for insurers' use of AI: a written AI governance program, testing and monitoring, clinician review of AI-supported adverse health determinations, and limits on adverse residential property underwriting actions based solely on aerial images or AI outputs. The Insurance Commissioner would have enforced it. It was referred to CPN/LBT and WAM on January 30, 2026 and was not enacted.

IL HB0035
Passed One Chamber Medium Risk

AI USE IN HEALTH INSURANCE ACT

Illinois's HB 35 (engrossed, with House Floor Amendment 1) would create the Artificial Intelligence Systems Use in Health Insurance Act. A health insurance issuer could not issue an adverse consumer outcome denying, reducing or terminating coverage or benefits that results solely from an AI system or predictive model, and denials, reductions or terminations resulting from AI would need meaningful review by a person able to override the AI. The Department of Insurance could review issuers' AI use. Passed the House 79-35 on April 9, 2025; re-referred to Senate Assignments June 2, 2025.

NH HB1432
Enacted High Risk

Relative to prohibiting certain uses of deepfakes and creating a private claim of action

New Hampshire's HB 1432 (Chapter 243 of 2024) makes fraudulent use of deepfakes a class B felony. A deepfake is video, audio or other media in which a person's face, body or voice has been digitally altered so they appear to be someone else or to say or do something they never did. Knowingly creating, distributing or presenting a deepfake of an identifiable person to embarrass, harass, entrap, defame, extort or cause financial or reputational harm is a crime, and a deepfake that leads to the person's arrest is a separate felony carrying liability for their defense costs. Victims may also sue for damages. News, satire and parody are excepted. Effective January 1, 2025.

NJ S1029
Introduced Medium Risk

Requires collection of data by health insurers regarding health insurance claims and decisions made using automated utilization management systems.

New Jersey's S1029 would require health insurers (payers) to keep and report data on claims, including denials, appeals and prior-authorization outcomes, and would make them disclose whether they use an automated utilization management system (a system that may use AI to recommend or decide coverage) and how many claims it reviewed. A payer determined to have denied at least 20 percent of a year's claims without proper justification would have to repay covered persons for the denied services. Referred to the Senate Commerce Committee January 13, 2026; it has not passed either chamber.

HI HB1607
Dead/Failed High Risk

Relating To Algorithmic Discrimination.

Hawaii's HB 1607 (2024) would have added an Algorithmic Discrimination chapter. Covered entities (those holding data on more than 25,000 residents, over $15,000,000 in receipts, data brokers, or service providers) could not use algorithmic processes using machine learning, AI or similar techniques to decide eligibility for credit, insurance, education, employment, housing or public accommodations in a discriminatory way, and would owe notices, annual audits and reports. Penalties up to $10,000 per violation, plus private suits. It was referred to HET and JHA January 24, 2024. It died.

IL HB4735
In Committee High Risk

TRANSPARENCY IN DOWNCODING ACT

Illinois's HB 4735 (104th General Assembly) would create the Transparency in Downcoding Act for certain health insurance policies. A health insurance issuer could not use an automated process, system or tool to downcode a claim, or downcode based solely on reported diagnosis codes, and downcoding decisions would have to be made by a licensed physician. Re-referred to the House Rules Committee March 27, 2026.

IL SB 3364
In Committee Medium Risk

HUMAN RIGHTS-AI-VIOLATIONS

Illinois's SB 3364 (104th General Assembly) would amend the Illinois Human Rights Act to make it a civil rights violation for an owner, broker or agent to use AI in a real estate transaction without telling the other party, to fail to tell a loan or credit card applicant that AI processed the application, or to fail to disclose AI used to decide access to a place of public accommodation. Re-referred to Assignments May 22, 2026.

VA HB638
In Committee Medium Risk

Data brokers; regulation, civil penalties.

Virginia's HB 638 (2026 Regular Session) would regulate data brokers. It would bar acquiring personally identifiable information by fraud, or to stalk, harass, commit fraud or unlawfully discriminate; require data brokers to keep an information security program; and require annual registration with the Secretary of the Commonwealth beginning December 1, 2027. Continued to 2027 in committee on February 9, 2026.

IL SB 2993
In Committee Medium Risk

AI-Prescribing Medication

Illinois's SB 2993 (104th General Assembly) would amend the Medical Practice Act of 1987 to bar a licensee from allowing AI to prescribe medication unless the licensee keeps full control and responsibility for the prescription. It would set penalties and give the Department of Financial and Professional Regulation investigatory and rulemaking authority. Re-referred to Senate Assignments on May 22, 2026.

IL SB 1425
In Committee Medium Risk

AI USE IN HEALTH INSURANCE ACT

Illinois's SB 1425 (104th General Assembly) would create the Artificial Intelligence Systems Use in Health Insurance Act. It would place an insurer's use of AI systems to make or support adverse determinations under Department of Insurance oversight, bar adverse outcomes (denial, reduction or termination of plans or benefits) that result solely from an AI system or predictive model, and require meaningful review by an individual with authority to override. Re-referred to Assignments April 11, 2025.

VA SB571
Dead/Failed High Risk

Synthetic media; expands applicability of provisions related to defamation, etc., penalty.

Virginia's SB 571 (2024 Regular Session) would have extended defamation, slander and libel provisions to synthetic media and made it a Class 1 misdemeanor to generate, create or use deceptive audio or visual media to commit a fraud offense, with a rebuttable presumption, a civil action for the person depicted and an Attorney General work group. Continued to 2025 in committee on February 12, 2024; it failed.

IL SB3548
In Committee High Risk

CONSUMER DATA PRIVACY ACT

Illinois's SB 3548 (104th General Assembly) would create the Consumer Data Privacy Act, giving consumers rights to confirm whether personal data is processed, correct and delete it, obtain a copy, and opt out of targeted advertising, data sales or profiling. It would apply to persons controlling or processing data of at least 100,000 consumers, with Attorney General enforcement. Last action: re-referred to Assignments May 22, 2026.

IL SB0050
In Committee High Risk

AGE-APPROPRIATE DESIGN CODE

Illinois' SB 50 is mainly a children's online privacy and design-code bill. As introduced, it would require covered entities (for-profit businesses over set revenue or data thresholds) to complete data protection impact assessments for services reasonably likely to be accessed by children, including whether algorithms and targeted advertising systems could harm children, and would bar profiling a child by default. Introduced January 13, 2025; re-referred to Assignments April 11, 2025 and still pending.

IL SB3241
In Committee Medium Risk

AGE-APPROPRIATE DESIGN CODE

Illinois' SB 3241 is mainly a children's online privacy and design-code bill. As introduced, it would require covered entities (for-profit businesses over set revenue or data thresholds) to complete data protection impact assessments for services reasonably likely to be accessed by children, including whether algorithms and targeted advertising systems could harm children, and would bar profiling a child by default. Introduced February 2, 2026; re-referred to Assignments May 22, 2026.

IL SB0052
In Committee High Risk

PRIVACY RIGHTS ACT

Illinois' SB 52 is a general consumer privacy bill. As introduced, the Privacy Rights Act would give consumers rights over their personal information and create a Privacy Protection Agency. Its AI-related parts are narrow: it defines profiling as automated processing of personal information, and directs the Attorney General to adopt rules on access and opt-out rights for automated decision-making technology and on risk assessments. Introduced January 13, 2025; re-referred to Assignments April 11, 2025 and still pending.

HI SB2524
Dead/Failed High Risk

Relating To Algorithmic Discrimination.

Hawaii's SB 2524 (2024) would have added an Algorithmic Discrimination chapter. Covered entities (those holding data on more than 25,000 residents, over $15,000,000 in receipts, data brokers, or service providers) could not use algorithmic processes using machine learning, AI or similar techniques to decide eligibility for credit, insurance, education, employment, housing or public accommodations in a discriminatory way, and would owe notices, annual audits and reports. Penalties up to $10,000 per violation, plus private suits. It was referred to committees January 24, 2024. It died.

NJ S3871
Dead/Failed Medium Risk

Establishes Artificial Intelligence Apprenticeship Program and artificial intelligence apprenticeship tax credit program.

New Jersey's S3871 would create an Artificial Intelligence Apprenticeship Program in the Department of Labor and Workforce Development and a tax credit for AI apprentices. The credit, under the corporation business tax and the gross income tax, would equal one-half of a qualified apprentice's wages, up to $5,000 per apprentice per privilege period, for periods beginning in 2026. Introduced November 18, 2024. A bill of the Legislature's 2024-2025 session, which ended January 13, 2026.

IL HB4248
Passed One Chamber High Risk

ALGORITHMIC PRICE TRANSPARENCY

Illinois's HB 4248, as the Senate amended it (Senate Floor Amendment 1), would create the Protection from Surveillance Pricing Act, banning surveillance pricing: customized prices for a consumer or group based on personal data. The House passed an earlier version 78-19 on May 22, 2026; the Senate passed it as amended 41-16 on May 31, 2026. The House has not concurred and re-referred it to the Rules Committee July 1, 2026, so it has not gone to the Governor.

RI SB2010
Passed One Chamber Medium Risk

AN ACT RELATING TO INSURANCE -- THE TRANSPARENCY AND ACCOUNTABILITY IN ARTIFICIAL INTELLIGENCE USE BY HEALTH INSURERS TO MANAGE COVERAGE AND CLAIMS ACT

Rhode Island's proposed Transparency and Accountability in AI Use by Health Insurers to Manage Coverage and Claims Act. Health insurers, and contractors acting for them, would have to disclose to the health insurance commissioner and DBR how they use AI in claims and coverage decisions (models, role, training data, performance metrics, governance) and keep records of AI-driven decisions for five years. Any clinical denial in which AI was a substantial factor would need review and approval by a provider with the same license as the ordering provider, or it would be invalid. Regulators would report yearly. The Senate passed a substitute on June 9, 2026.

NY A9638
In Committee Medium Risk

Prohibits the use of a wage-fixing algorithm in combination with personal or behavioral data to set or recommend wages or compensation

A 9638 would ban 'surveillance wages' in New York: employers could not use a wage-fixing algorithm, or its output, together with a worker's personal or behavioral data (such as financial, purchasing, browsing, biometric or location data, or profiles drawn from them) to set or recommend pay, whether the employer or a third party collects the data. Tools that use only job requirements, performance (not customer reviews), qualifications, labor market conditions or local cost of living are exempt. The Attorney General, the Labor Department and harmed workers could sue for the greater of actual damages or $3,000 per violation, tripled if willful. Pending in the Assembly Labor Committee.

HI SCR184
Passed One Chamber Medium Risk

Requesting The Hawaii Civil Rights Commission To Examine The Applicability Of Existing State Anti-discrimination Laws To Algorithmic And Automated Decision Systems.

Hawaii's Senate Concurrent Resolution 184 (2026) asks the Hawaiʻi Civil Rights Commission to examine how existing state anti-discrimination laws apply to algorithmic and automated decision systems, including AI tools used in employment screening, tenant selection, credit and public benefits decisions: whether current law gives enough authority to investigate and remedy such discrimination, jurisdictional and evidentiary hurdles, whether guidance or rulemaking would help, a possible complaint pathway, and any legislation needed. Report due 20 days before the 2027 session. Adopted by the Senate April 9 and the House April 24, 2026; a concurrent resolution does not change the law.

NY A08556
In Committee Medium Risk

Prescribes requirements and safeguards for the use of an artificial intelligence, algorithm, or other software tool for the purpose of utilization review for health and accident insurance.

New York's A 8556 would add Public Health Law § 4905-a and Insurance Law § 4905-a. A utilization review agent or disability insurer using AI, an algorithm or another software tool for utilization review based on medical necessity would have to base determinations on the enrollee's clinical history, not solely a group dataset, and the tool could not "deny, delay, or modify health care services" on medical necessity; only a licensed health care professional could. Would take effect on the ninetieth day after it becomes law. Referred to the Insurance Committee May 20, 2025 (and January 7, 2026); it has not passed either chamber.

NY A05429
In Committee High Risk

Establishes the New York workforce stabilization act; requires certain businesses to conduct artificial intelligence impact assessments on the application and use of such artificial intelligence and to submit such impact assessments to the department of labor prior to the implementation of the…

New York's A 5429-A (the "New York workforce stabilization act") would add Labor Law § 201-j barring employers (in-state businesses with more than 100 employees) from using AI without an impact assessment, repeated every two years and submitted to the department 30 days before implementation, and add Tax Law § 186-h imposing a surcharge of two percent of business income base on corporations that displace employees through AI above tiered thresholds or use AI for data mining. Section 2 takes effect immediately; the tax section on January 1, 2026. Referred to Labor January 7, 2026; it has not passed either chamber.

UT SB226
Enacted

Artificial Intelligence Consumer Protection Amendments

Utah's SB 226 replaces the 2024 generative AI disclosure rules with Utah Code Title 13, Chapter 75. A supplier using generative AI with an individual in a consumer transaction must disclose it is AI, not a human, if the individual clearly asks. Regulated professionals must prominently disclose generative AI at the start of high-risk interactions (collecting health, financial or biometric data, or personalized financial, legal, medical or mental health advice). AI that discloses itself at the outset and throughout gets a safe harbor. Fines up to $2,500 per violation. Signed March 27, 2025; effective May 7, 2025.

AR HB1297
Dead/Failed Low Risk

Concerning Artificial Intelligence, Algorithms, And Other Automated Technologies; And To Regulate Certain Practices Of Healthcare Insurers.

Arkansas HB 1297 (2025), as engrossed, would have added a subchapter (Ark. Code §§ 23-63-2101 to 2113) regulating healthcare insurers' use of AI and automated decision-making in utilization review. Insurers would have had to disclose algorithm details from January 1, 2026, give explanations for AI-supported denials, and have a clinician licensed in Arkansas review adverse prior authorization determinations. The Insurance Commissioner could fine up to $25,000 per determination. The author withdrew it on April 1, 2025.

CT SB447
Dead/Failed High Risk

An Act Prohibiting Health Carriers From Using Artificial Intelligence In The Evaluation And Determination Of Patient Care.

Connecticut's SB 447 (2025) was a short proposed bill with no operative text, stating its intent to amend title 38a of the general statutes to prohibit health carriers from using artificial intelligence in the evaluation and determination of patient care, to safeguard patient access to testing, medications and procedures. It was referred to the Insurance and Real Estate Committee on January 10, 2025 and died when the 2025 session ended.

NY A04947
In Committee High Risk

Enacts the NY privacy act to require companies to disclose their methods of de-identifying personal information, to place special safeguards around data sharing and to allow consumers to obtain the names of all entities with whom their information is shared.

New York's A 4947 (the "New York privacy act") would add General Business Law Article 42-A. For solely automated decisions that materially contribute to denials of lending, housing, insurance, health care or similar services, controllers would have to disclose the automation, offer an appeal with meaningful human review and run annual impact assessments by an external, independent auditor or researcher. Consumers would also get opt-in consent, access, correction and deletion rights. AG penalties up to $15,000 per violation; private suits. Most sections would take effect two years after enactment. Referred to committee February 10, 2025 and January 7, 2026; not passed by either chamber.

NY A03991
In Committee Medium Risk

Establishes requirements for the use of artificial intelligence, algorithm, or other software tools in utilization review and management; defines artificial intelligence.

New York's A 3991 would add Insurance Law § 3224-e and define artificial intelligence in Insurance Law § 107(a). A health care service plan using an AI, algorithm or other software tool for utilization review or management would have to ensure it bases determinations on the enrollee's history and clinical circumstances, does not supplant provider decision making, does not discriminate, and is open to inspection. Medical necessity denials, delays or modifications would have to be made by a licensed physician or other competent provider. Would take effect immediately. Referred to Insurance January 30, 2025 and January 7, 2026; it has not passed either chamber.

NV SB288
Enacted Medium Risk

Revises provisions relating to transportation network companies. (BDR 58-935)

Nevada's SB 288 lets a transportation network company (TNC) contract with monitored autonomous vehicle providers, who own and operate autonomous vehicles with an employed monitor physically present at all times, to give rides through the TNC's app largely on the same terms as drivers. Providers are liable in tort like drivers and must carry at least $1,500,000 of TNC insurance while operating; the TNC must hold a Transportation Authority permit and inspect the vehicles. Local governments generally may not tax or charge fees on these providers or rides. Approved June 10, 2021 (Chapter 550); effective on approval.

NY A01280
In Committee High Risk

Establishes the crime of unlawful dissemination or publication of a fabricated photographic, videographic, or audio record as a class E felony.

New York's A 1280 would add Penal Law § 245.20, making it a class E felony to intentionally create and then disseminate or publish, without consent and with intent to cause harm to the liberty or emotional, social, financial or physical welfare of an identifiable person, a fabricated photographic, videographic or audio record. Such a record would have to look indistinguishable from reality and be manipulated or artificial, including through AI such as deepfakes. Several exemptions apply, including parody, news reporting and platforms. Referred to Codes January 7, 2026; it has not passed either chamber.

IL HB5116
Dead/Failed High Risk

AUTOMATED DECISION TOOLS

Illinois's HB 5116 (103rd General Assembly) would have created the Automated Decision Tools Act. On or before January 1, 2026, and annually after, a deployer of an automated decision tool would have to perform an impact assessment, notify people subject to a consequential decision, and keep a governance program to manage algorithmic discrimination risk. The Attorney General could sue. Died at Session Sine Die on January 7, 2025.

NY A03993
In Committee Medium Risk

Prohibits discrimination through the use of clinical algorithms; provides exceptions for clinical algorithms that rely on variables to appropriately make decisions, including to identify, evaluate, and address health disparities.

New York's A 3993 would add Insurance Law § 3243-a providing that an insurer subject to the article shall not discriminate on the basis of race, color, national origin, sex, age or disability through the use of clinical algorithms in its decision-making, while permitting clinical algorithms that rely on variables to appropriately make decisions, including to identify, evaluate and address health disparities. Would take effect immediately. Referred to Insurance January 30, 2025 and January 7, 2026; it has not passed either chamber.

MI HB5143
Enacted Low Risk

Campaign finance: other; artificial intelligence; define. Amends sec. 2 of 1976 PA 388 (MCL 169.202). TIE BAR WITH: HB 5141'23

Michigan's HB 5143 (Public Act 264 of 2023) adds a definition of 'artificial intelligence' to the Michigan Campaign Finance Act (MCL 169.202): a machine-based system that can, for a given set of human-defined objectives, make predictions, recommendations or decisions influencing real or virtual environments, using machine and human-based inputs to perceive environments, abstract them into models through automated analysis, and use model inference to formulate options. It is tie-barred to HB 5141 (Public Act 263), the AI political-ad disclosure law. Approved November 30, 2023; effective February 13, 2024.

NY A00222
In Committee Medium Risk

Imposes liability for misleading, incorrect, contradictory or harmful information to a user by a chatbot that results in financial loss or other demonstrable harm.

New York's A 222-A would add General Business Law § 390-f on chatbot liability. A proprietor whose chatbot acts in place of a human representative could not disclaim liability for materially misleading, incorrect, contradictory or harmful information that causes a covered user financial loss or other demonstrable harm (no liability if cured within thirty days of notice), and would have to tell users they are talking to an AI chatbot. Further duties would apply to companion chatbots (self-harm and minors). Reference changed to Science and Technology March 5, 2026; it has not passed either chamber.

NY A09152
In Committee Medium Risk

Prohibits the use of any automated or algorithm-driven process by which the price charged for an essential good or service is adjusted on a real-time basis substantially in reference to any non-cost-based factor.

New York's A 9152 would add General Business Law § 396-rrr prohibiting sellers of essential goods and services, including platforms, from using dynamic pricing: an automated or algorithm-driven process adjusting price in real time "substantially in reference to any non-cost-based factor." Exemptions include auctions, bona fide contracts, financial and insurance products and emergencies. Only the Attorney General could sue, for civil penalties up to $25,000 per violation or three times gross receipts. Would take effect on the ninetieth day after it becomes law. Referred to Consumer Affairs and Protection October 17, 2025 (and January 7, 2026); it has not passed either chamber.

GA SR391
Dead/Failed Medium Risk

Senate Study Committee on Artificial Intelligence and Digital Currency; create

Georgia's SR 391 is a Senate resolution, adopted 52-0 on April 2, 2025, that created the Senate Study Committee on Artificial Intelligence and Digital Currency: six members appointed by the President of the Senate, who names a legislative member as chair. It was to study AI and digital and cryptocurrency, including safeguards against fraud, unintended bias, discrimination and privacy infringements from AI, and to recommend any action or legislation. The committee stood abolished December 1, 2025. As a resolution of one chamber, it does not change the law.

HI SR165
Dead/Failed Medium Risk

Requesting The Hawaii Civil Rights Commission To Examine The Applicability Of Existing State Anti-discrimination Laws To Algorithmic And Automated Decision Systems.

Hawaii's Senate Resolution 165 (2026) asks the Hawaiʻi Civil Rights Commission to examine how existing state anti-discrimination laws apply to algorithmic and automated decision systems, including AI tools used in employment screening, tenant selection, credit and public benefits decisions: whether current law gives enough authority to investigate and remedy such discrimination, jurisdictional and evidentiary hurdles, whether guidance or rulemaking would help, a possible complaint pathway, and any legislation needed. Report due 20 days before the 2027 session. Adopted by the Senate April 9, 2026; a resolution of one chamber does not change the law.

NY A06180
In Committee Medium Risk

Excludes a production using artificial intelligence or autonomous vehicles in a manner which results in the displacement of employees whose salaries are qualified expenses from the definition of qualified film for the purposes of the empire state film production credit.

New York's A 6180 would amend Tax Law § 24(b)(3) so that a production "which uses artificial intelligence or autonomous vehicles" in a manner that displaces employees whose salaries are qualified expenses is not a "qualified film" for the Empire State film production credit, unless the replacement is permitted by a current collective bargaining agreement covering those employees. Would take effect immediately. Introduced February 26, 2025 and referred to the Ways and Means Committee (again January 7, 2026); it has not passed either chamber.

NY A01456
In Committee Medium Risk

Provides for notice requirements where an insurer authorized to write accident and health insurance in this state, a corporation organized pursuant to article forty-three of this chapter, or a health maintenance organization certified pursuant to article forty-four of the public health law uses…

New York's A 1456 would add Insurance Law § 338 requiring accident and health insurers, Article 43 corporations and Article 44 HMOs to tell insureds on their public websites about their use or lack of use of AI-based algorithms in utilization review, to submit those algorithms and training data to the Department for certification that bias risk is minimized, and to have clinical peer reviewers document review of individual records before an adverse determination. Fines would be up to $5,000 per violation or $10,000 per willful violation. Referred to Insurance January 7, 2026; it has not passed either chamber.

NY S07422
Dead/Failed Medium Risk

Excludes a production using artificial intelligence or autonomous vehicles in a manner which results in the displacement of employees whose salaries are qualified expenses from the definition of qualified film for the purposes of the empire state film production credit.

New York's S 7422-B (2023-2024) would have amended Tax Law § 24 so a production is not a "qualified film" for the film production credit if it uses artificial intelligence or autonomous vehicles in a way that displaces employees whose salaries are qualified expenses. The exclusion would not apply where the replacement is permitted by a current collective bargaining agreement covering those employees. Amended March 27, 2024 and recommitted to committee; it died when the 2023-2024 session ended.

NY A8884
Introduced High Risk

Relates to the development and use of certain artificial intelligence systems

New York's A 8884-A, the "New York AI act," would add Civil Rights Law §§ 105 to 115. Developers and deployers of high-risk AI used in consequential decisions (e.g. jobs, education, housing, health care, finance) would have to take reasonable care to prevent algorithmic discrimination, give notice and appeal with human review, get audits, report to the Department of Financial Services and keep risk programs; social scoring would be banned. AG civil penalties: up to $25,000 (developers) or $10,000 (deployers) per violation. Would take effect one year after becoming law (audits, two years). Amended June 1, 2026 and recommitted to Science and Technology; not passed by either chamber.

NY A11048
In Committee High Risk

Relates to the use of artificial intelligence by insurers and clinical peer reviewers for utilization review; establishes additional notice requirements for adverse determinations.

New York's A 11048 would add Insurance Law § 338 on AI-based algorithms in utilization review. Insurers would have to notify insureds, enrollees and providers of AI use, submit their algorithms and training data to the Superintendent with a certification, and could not use AI as the sole basis to deny, delay or modify care. Fines of up to $5,000 per violation ($10,000 if willful) would apply. Introduced April 24, 2026 and referred to the Insurance Committee; it has not passed either chamber.

NY S01962
In Committee Medium Risk

Enacts the "New York artificial intelligence consumer protection act", in relation to preventing the use of artificial intelligence algorithms to discriminate against protected classes.

New York's S 1962, the New York artificial intelligence consumer protection act, would add General Business Law Article 45-A (sections 1550 to 1556). From January 1, 2027, developers and deployers of high-risk AI decision systems that make or substantially factor in consequential decisions (education, employment, lending, government services, health care, housing, insurance, legal services) would have to use reasonable care against algorithmic discrimination, with impact assessments, notices and appeals. The Attorney General would have exclusive enforcement. Referred to Internet and Technology January 7, 2026; it has not passed either chamber.

US HB6306
Introduced High Risk

AI Fraud Deterrence Act

The federal H.R. 6306 (AI Fraud Deterrence Act) would add higher criminal penalties when mail fraud, wire fraud, bank fraud or money laundering is committed with the assistance of artificial intelligence, and would add a penalty of a fine of not more than $1,000,000 or imprisonment of not more than 3 years, or both, for impersonating a federal officer or employee with AI assistance. A rule of construction would protect satire, parody and other expressive conduct that clearly discloses it is not authentic. Introduced November 25, 2025 and referred to the House Judiciary Committee; no further action.

NY S08115
In Committee Medium Risk

Relates to the use of automated lending decision-making tools by banks for the purposes of making lending decisions; allows loan applicants to consent to or opt out of such use.

New York's S 8115-C would add Banking Law section 103-a on automated lending decision-making tools used by banking organizations, licensed foreign and interstate branches and licensed lenders (national and federal institutions are excluded). Covered entities must get an annual independent impact assessment, post the final report on their website, keep records for seven years, report discriminatory outcomes to the department within thirty days, and give applicants notice at least 24 hours before use. Reported from Banks and committed to Internet and Technology May 12, 2026; it has not passed either chamber.

NY S05486
In Committee Medium Risk

Requires certain disclosures by automobile insurers relating to the use of telematics systems in determining insurance rates and/or discounts.

New York's S 5486 would add Insurance Law § 2304-a requiring insurers that use telematics systems, and third-party developers and vendors of them, to explain to the Superintendent how model or algorithm factors relate to risk, publicly disclose scoring methodologies, report discrimination testing and give consumers access to their collected data. Collected data could be used only for underwriting and rating. Referred to Insurance January 7, 2026; it has not passed either chamber.

NY S04082
In Committee Medium Risk

Prohibits motor vehicle insurers from discrimination on the basis of socioeconomic factors in determining algorithms used to construct actuarial tables, coverage terms, premiums and/or rates.

New York's S 4082 would add Insurance Law § 2619 barring motor vehicle insurers from basing classification plans, rates or rating plans, in whole or in part, on eleven listed factors, including age, marital status, sex, education, occupation, income, credit information, property ownership and price elasticity of demand. It would also bar using them to adjust algorithms used to build actuarial tables or set coverage cost. Referred to Insurance January 7, 2026; it has not passed either chamber.

NY S05668
In Committee Medium Risk

Imposes liability for misleading, incorrect, contradictory or harmful information to a user by a chatbot that results in financial loss or other demonstrable harm.

New York's S 5668 would add General Business Law § 390-f on chatbot liability. A proprietor whose chatbot acts in place of a human representative could not disclaim liability for materially misleading, incorrect, contradictory or harmful information causing financial loss or other demonstrable harm (no liability if cured within 30 days of notice), and would have to give clear notice that the user is talking to an AI chatbot. Companion chatbots face self-harm and minor safeguards. Committee vote March 12, 2025; committed to rules June 13, 2025; referred back January 7, 2026.

NY A00773
In Committee High Risk

Relates to the use of automated lending decision-making tools by banks for the purposes of making lending decisions; allows loan applicants to consent to or opt out of such use.

New York's A 773-C would add Banking Law § 103-a requiring covered banking organizations and licensed lenders that use automated lending decision-making tools to commission an annual independent impact assessment and post a summary report, report discriminatory or biased findings to the Department within thirty days, and give applicants notice at least 24 hours before use and, to the extent practicable, a denial reason within 24 hours. It contains no consent or opt-out right. Reported and advanced to third reading (calendar 393) April 30, 2026; it has not passed either chamber.

NY S10456
In Committee High Risk

Requires an office within the department of financial services to establish minimum standards for large frontier developers' frontier AI frameworks to prevent unreasonable levels of catastrophic risk.

New York's S 10456 would add General Business Law section 1430. The Office (which the sponsor memo identifies as the Office of Digital Innovation, Governance, Integrity & Trust, DIGIT, in the Department of Financial Services) would have to adopt regulations by July 1, 2028 requiring large frontier developers' frontier AI frameworks to meet minimum standards to prevent unreasonable levels of catastrophic risk. It must consult academia, the Empire AI Research Institute, the Attorney General, civil society and frontier developers, and review the rules annually. Referred to Internet and Technology May 15, 2026; it has not passed either chamber.

MA S2632
In Committee Medium Risk

Relative to the use of artificial intelligence and other software tools in healthcare decision-making

Massachusetts S2632 would bar AI from denying, delaying or modifying health care on medical-necessity grounds, requiring a licensed professional to decide, and would limit AI in therapy: licensed therapists may use it only for administrative or supplementary support, with civil penalties up to $10,000 per violation. Committee recommended ought to pass and referred to Senate Ways and Means April 2, 2026; it has not passed either chamber.

SC S0963
In Committee Medium Risk

Artificial intelligence, consumer protection

South Carolina's S 963 would enact the Consumer Protections in Interactions with Artificial Intelligence Systems Act (Chapter 31 of Title 37). Developers and deployers of high-risk AI systems used in consequential decisions would owe a duty of reasonable care against algorithmic discrimination, with impact assessments, consumer notices and appeal rights. The Attorney General would have exclusive enforcement. Introduced February 26, 2026 and referred to the Senate Banking and Insurance Committee; it has not passed either chamber.

SC S0443
In Committee Medium Risk

Health Claims & AI

South Carolina's S 443 would add Section 38-59-23 on health care coverage decisions made with artificial intelligence. Actions on coverage decisions could not be based solely on AI results or an automated decision-making tool, and a health care professional would have to supervise and meaningfully review decisions that modify or deny provider authorization requests. Introduced March 11, 2025 and referred to the Senate Banking and Insurance Committee; it has not passed either chamber.

MS HB1717
Dead/Failed High Risk

Mississippi Medical Judgement Protection Act; create.

Mississippi's HB 1717 (2026), the Mississippi Medical Judgment Protection Act, would require a provider or facility whose clinical AI materially contributes to a diagnosis, treatment plan, order or clinical note to disclose that in the medical record and have a licensed clinician accept or reject it. It would bar payers from issuing automated denials or delays of coverage or payment, and require adverse determinations to be reviewed and signed by a physician. It died in committee on February 3, 2026.

MA H94
In Committee Low Risk

To ensure accountability and transparency in artificial intelligence systems

Massachusetts H94 would add G.L. Chapter 93M requiring developers and deployers of high-risk AI systems used in consequential decisions (education, employment, lending, housing, health care, insurance, legal and government services) to guard against algorithmic discrimination, with Attorney General enforcement. On December 24, 2025 it accompanied H97, which was reported favorably and referred to House Ways and Means.

WA SB6284
Dead/Failed Medium Risk

Providing consumer protections for artificial intelligence systems.

Washington's SB 6284 (1st substitute, 2026 session) would have required developers and deployers of high-risk AI systems used to make, or be a substantial factor in, consequential decisions on employment, housing, insurance, health care, education, lending, legal services and similar matters to guard against algorithmic discrimination. Deployer duties would start July 1, 2027, consumer notice July 1, 2026, and only the Attorney General could enforce. It cleared Senate Environment, Energy & Technology on February 3, 2026, was heard in Ways & Means on February 6, and died at adjournment on March 12.

WA SB6120
Dead/Failed High Risk

Regulating high-risk artificial intelligence system development, deployment, and use.

Washington's SB 6120 (2026 session), the Senate companion to HB 2157, would have required developers and deployers of high-risk AI systems, those intended to make or be a substantial factor in consequential decisions such as employment, lending, housing, insurance, health care and education, to use reasonable care against algorithmic discrimination. It included developer documentation, deployer risk programs and impact assessments, consumer notices, and private lawsuits for injunctions. It had a first reading on January 14, 2026 and died at adjournment.

US HB6275
In Committee Medium Risk

China AI Power Report Act

H.R. 6275, the China AI Power Report Act, as introduced would require the Secretary of Commerce to report to the House Foreign Affairs and Senate Banking committees on China's advanced AI capabilities and AI supply chains: 180 days after enactment and annually for 3 years after. Introduced November 21, 2025 and referred to House Foreign Affairs, which ordered it reported with amendments on January 21, 2026 (47-0); this page describes the introduced text. It has not passed either house.

MA S36
In Committee High Risk

To provide accountability in the use of biometric recognition technology and comprehensive enforcement

Massachusetts S36 would add G.L. Chapter 110I regulating biometric recognition technology: covered entities owe duties of loyalty, care and confidentiality, may not sell biometric data, and may not install biometric recognition equipment in places open to the public. Referred to committee February 27, 2025; on May 12, 2025 it accompanied S43 (An Act to protect personal biometric data), which was referred to Senate Ways and Means.

IA HSB294
In Committee Medium Risk

A bill for an act relating to artificial intelligence, including the use of artificial intelligence to create materials related to elections and protections in interactions with artificial intelligence systems, and making penalties applicable.

Iowa's HSB 294 would require a disclosure on AI-generated election material that advocates for or against a candidate or ballot issue, and would create Code chapter 554I requiring developers and deployers of high-risk AI systems to use reasonable care against algorithmic discrimination, with attorney general enforcement. The House committee voted 18-3 for passage on March 6, 2025; it has not passed either chamber.

FL S0794
Dead/Failed High Risk

Mandatory Human Reviews of Insurance Claim Denials

Florida's CS/SB 794 (Banking and Insurance Committee; Bradley) would require an insurer's decision to deny a claim or part of a claim to be made by a qualified human professional and bar algorithms, AI and machine learning systems from being the sole basis for determining whether to adjust or deny a claim. Committee substitute reported 9-0 on March 25, 2025; it died in Appropriations on June 16, 2025.

FL S712
Dead/Failed Medium Risk

Autonomous Vehicles

Florida's CS/SB 712 (2018, committee substitute) would have let a fully autonomous vehicle operate in Florida whether or not a licensed human operator is physically present, with the automated driving system deemed the operator. It would have required fully autonomous vehicles to carry at least $500,000 in combined liability coverage (plus PIP and uninsured motorist coverage), allowed the Florida Turnpike Enterprise to build test facilities, and exempted autonomous vehicles from the in-vehicle video display ban. Scheduled to take effect July 1, 2018, it died in Banking and Insurance on March 10, 2018.

AL HB515
Dead/Failed Medium Risk

Artificial intelligence; regulate use in health coverage decisions

Alabama's HB 515 (2025, as introduced) would have limited how health insurers use AI, algorithms or other software in utilization review. Medical necessity determinations would always have been made by a licensed physician or other competent health care professional. Insurers would have had to disclose AI use to enrollees and contracting providers, periodically review outcomes, and face civil suits for compensatory or punitive damages. Introduced April 3, 2025 and referred to the House Committee on Insurance; it died in committee when the 2025 session ended.

MI HB4536
In Committee Medium Risk

Insurance: health insurers; use of artificial intelligence tools to make decisions regarding claims; prohibit. Amends 1956 PA 218 (MCL 500.100 - 500.8302) by adding sec. 3406ss.

Michigan's HB 4536 would add section 3406ss to the Insurance Code of 1956 providing that an insurer that delivers, issues for delivery, or renews in Michigan a health insurance policy shall not deny, modify, or delay a claim based on a review using artificial intelligence. Introduced June 3, 2025; re-referred to the House Committee on Communications and Technology March 19, 2026; it has not passed either chamber.

MI HB4537
In Committee Medium Risk

Human services: medical services; use of artificial intelligence tools to make decisions regarding claims; prohibit. Amends 1939 PA 280 (MCL 400.1 - 400.119b) by adding sec. 107b.

Michigan's HB 4537 would add section 107b to the social welfare act (1939 PA 280) providing that the department or a contracted health plan shall not deny, modify, or delay a claim under the medical assistance program based on a review using artificial intelligence. Introduced June 3, 2025; re-referred to the House Committee on Communications and Technology March 19, 2026; it has not passed either chamber.

US SB3982
Introduced Medium Risk

AI Fraud Accountability Act of 2026

The federal S. 3982 (AI Fraud Accountability Act of 2026) would make it a federal crime, punishable by up to 3 years in prison and a fine, to pose falsely as a real or imaginary person in an AI-made or other computer-generated audio or visual impersonation, intended to be taken as genuine, to defraud someone. It would also make the conduct an FTC-enforced unfair or deceptive practice. Referred to the Senate Commerce Committee March 4, 2026; it has not passed either chamber.

RI H7190
Introduced Medium Risk

Promotes transparency and accountability in the use of artificial intelligence by health insurers to manage coverage and claims.

Rhode Island H 7190 (2026), as introduced on January 21, 2026, would add chapter 27-84 requiring health insurers to disclose to OHIC and DBR how they use AI to manage claims and coverage and to keep records of AI decisions for at least five years. A non-administrative adverse benefit determination on medically necessary care in which AI made, or was a substantial factor in, the decision would need review and approval by a provider with the same license status as the ordering provider. The text says it takes effect upon passage.

MA H1210
Dead/Failed Medium Risk

Relative to AI health communications and informed patient consent

Massachusetts' H 1210 would give patients the right to be told when health information they get was generated by AI, with instructions for reaching a human provider if the provider had not reviewed it. Health insurance carriers would have to disclose AI or automated decision tools used in claims review and file an annual report on AI algorithms and training data used in utilization review, with a bias attestation. Referred to Financial Services February 27, 2025; on February 9, 2026 it accompanied a study order (H 5066) and did not advance as its own bill.

US SB2081
In Committee Low Risk

RISE Act of 2025 Responsible Innovation and Safe Expertise Act of 2025

The RISE Act would shield AI developers from civil liability for errors made by their AI products when licensed or certified professionals use them to serve clients, if the developer publishes a model card and its model specification (including system prompts) before deployment and gives professionals clear documentation of known limitations, failure modes and appropriate uses. The shield would not cover recklessness or willful misconduct, would be lost if disclosures are not updated within 30 days of a new version or newly found failure mode, and would preempt covered state-law claims except those for fraud, knowing misrepresentation or non-professional use. Introduced June 12, 2025.

NH HB1406
Dead/Failed High Risk

Relative to health carrier recordkeeping requirements in utilization review, including specifications regarding the use of artificial intelligence.

New Hampshire's HB 1406 (2026), as amended by the House, would require health carriers to keep written records on their use of algorithms and AI in utilization review and require adverse determinations, including payment reductions and down coding, to be made by a qualified health care provider, with written notice and records. It passed the House with amendment on March 11, 2026; the Senate voted it Inexpedient to Legislate on May 7, 2026 and it was killed.

TN HB1168
Dead/Failed Medium Risk

AN ACT to amend Tennessee Code Annotated, Title 55 and Title 65, relative to autonomous vehicles.

Tennessee's HB1168 (114th General Assembly), as introduced, would have amended Code § 55-30-103 so that an automated-driving-system (ADS) vehicle used to transport property for hire or compensation in interstate commerce, or passengers for hire or compensation, could not operate on Tennessee roads with the ADS engaged unless a licensed human driver sits in the driver's seat, monitors the vehicle at all times and can take control. Companion: SB 0310. Not passed before the session ended in April 2026; last action: Assigned to s/c Finance, Ways, and Means Subcommittee (March 17, 2026).

NJ S2860
Introduced Medium Risk

Establishes Artificial Intelligence Apprenticeship Program and artificial intelligence apprenticeship tax credit program.

New Jersey's S2860 would establish an Artificial Intelligence Apprenticeship Program in the Department of Labor and Workforce Development, with corporation business tax and gross income tax credits for tax years beginning in 2026. The credit is one-half of a qualified apprentice's wages, capped at $5,000 per apprentice per period. Pre-filed for introduction in the 2026 session.

NJ S2324
In Committee Medium Risk

Clarifies that owners of self-driving motor vehicles must comply with existing insurance requirements.

New Jersey's S2324 would extend the State's no-fault Automobile Reparation Reform Act and compulsory liability insurance requirement to self-driving vehicles capable of operating without active control or monitoring by a human operator, so their owners would have to carry the same coverage as other owners, including personal injury protection (per the Statement).

MS HB1035
Dead/Failed Medium Risk

MS Future Innovators Act; enact to require high school computer science or CTE with embedded computer science course.

Mississippi's HB 1035 (2026), the Mississippi Future Innovators Act, would require that, beginning with the entering ninth-grade class of 2029-2030, a public high school student earn one unit of credit in a State Board of Education-approved computer science course or industry-aligned CTE course with embedded computer science before graduating, and that the course include instruction on AI (what it is, how it works and its impact on society). It passed the House on February 11, 2026 but died in Senate Education Committee on March 3, 2026.

NJ A2480
In Committee Medium Risk

Establishes programs in EDA to support New Jersey-based start-up, small businesses, and medium-sized businesses adopting artificial intelligence capabilities; appropriates $175.5 million.

New Jersey's A2480 would create three Economic Development Authority programs: financial assistance for AI businesses based in New Jersey through a revolving loan fund, an AI for Small Business Grant Program for start-ups and small businesses, and a consultancy program for small and medium-sized businesses adopting AI. It would appropriate $175.5 million from the General Fund.

MN HF4532
Dead/Failed High Risk

Artificial intelligence safety and disclosure requirements established, and civil remedies provided.

Minnesota's HF 4532, the Responsible Artificial Intelligence Safety and Education (RAISE) Act, would require developers (anyone who has trained at least one AI model) to adopt, publish and send to the attorney general a safety and security protocol before deploying a model, report safety incidents within 72 hours, and not deploy a model that creates an unreasonable risk of critical harm. Introduced and referred to Commerce Finance and Policy March 23, 2026; it died when the 2026 session adjourned.

IN HB1620
Dead/Failed Medium Risk

Disclosure of artificial intelligence use in health care.

Indiana's HB 1620 would have required a health care provider that uses AI technology to make or inform any decision in a patient's care, or to generate any part of a communication to the patient (including through a chat bot), to disclose that use to the patient. An insurer providing accident and sickness coverage would have had the same duty toward an insured. Introduced January 21, 2025 and referred to the House Committee on Public Health; the Indiana General Assembly's record marks it dead.

NJ A1639
In Committee Medium Risk

Clarifies that owners of self-driving motor vehicles must comply with existing insurance requirements.

New Jersey's A1639 would extend the State's compulsory automobile liability insurance requirement and the no-fault Automobile Reparation Reform Act to self-driving motor vehicles of any SAE automation level, so their owners would have to carry the same insurance as other vehicle owners.

PA SB1113
In Committee Medium Risk

Providing for artificial intelligence in facilities, for artificial intelligence use by insurers and for artificial intelligence use by MA or CHIP managed care plans; imposing duties on the Department of Health, the Insurance Department and the Department of Human Services; and imposing penalties.

Pennsylvania's SB 1113 (2025-26) would add rules for AI in health care facilities, AI use by insurers and AI use by MA or CHIP managed care plans, with duties for the departments of Health, Insurance and Human Services and penalties. The captured text covers the facilities chapter: patient disclosure, responsible-use rules and annual AI compliance statements filed with the Department of Health. It was referred to the Senate Institutional Sustainability & Innovation Committee on January 9, 2026.

LA HCR66
Passed Both Chambers Low Risk

Provides for a joint legislative committee to study regulations regarding artificial intelligence

Louisiana's HCR 66 is a concurrent resolution, adopted by the House 85-0 on May 9 and the Senate 35-0 on May 29, 2024, that requests the Joint Legislative Committee on Technology and Cybersecurity to study and make recommendations on the use and regulation of artificial intelligence. It cites risks in education, criminal justice evidence, finance, health care and revenue collection, and possible benefits for state government. The committee is to actively solicit data and testimony and report policy recommendations to the legislature annually. A concurrent resolution does not change the law.

NY A06767
In Committee High Risk

Prohibits the provision of an artificial intelligence companion to a user unless such artificial intelligence companion contains a protocol for addressing possible suicidal ideation or self-harm expressed by a user, possible physical harm to others expressed by a user, and possible financial harm…

New York's A 6767 would add General Business Law Article 47 and make it unlawful for an operator to provide an AI companion unless it has a protocol for possible suicidal ideation or self-harm, physical harm to others, and financial harm to others expressed by a user, including a crisis-service referral. Operators would also have to tell users, at the start and at least every three hours, that the companion is not human. The Assembly passed it March 25, 2025, but it died in the Senate and was returned to the Assembly January 7, 2026, where it was ordered to third reading (Cal. 175); it has not passed again.

MA S33
In Committee High Risk

Establishing the Comprehensive Massachusetts Consumer Data Privacy Act

Massachusetts S 33 would create a comprehensive consumer data privacy act. After a joint committee hearing on April 9, 2025, the committee folded it into new draft S2516 on May 12, 2025, so S33 itself does not move further. The successor, redrafted as S2608 and passed by the Senate 40-0 on September 25, 2025 as S2619, would let consumers opt out of profiling for solely automated decisions with legal or similarly significant effects. The House passed different text on June 4, 2026 and a conference committee was appointed in June 2026; nothing is law.

MI SB0359
In Committee Medium Risk

Consumer protection: privacy; personal data privacy act; create. Creates new act.

Michigan's SB 359 would create a Personal Data Privacy Act giving consumers rights over personal data, including opting out of profiling in furtherance of solely automated decisions with legal or similarly significant effects. Introduced June 5, 2025 and referred to the Committee on Finance, Insurance, and Consumer Protection, it was reported favorably without amendment on June 11, 2025 and referred to the Committee of the Whole on June 12, 2025; it has not passed either house.

OH SCR14
Introduced Medium Risk

Urge Congress to reject moratorium on state regulation of AI

Ohio's SCR 14 is a concurrent resolution that would urge Congress to reject any moratorium on state laws regulating artificial intelligence. It would condemn such a moratorium in all its forms and urge members of Congress to reject it in federal legislation and executive orders. Offered in the Senate on December 17, 2025 and referred to the Senate Financial Institutions, Insurance and Technology Committee on February 11, 2026; it has not been adopted. It is a resolution and would not change Ohio law even if adopted.

MA H97
In Committee Low Risk

Protecting consumers in interactions with artificial intelligence systems

Massachusetts's H 97 would add Chapter 93M requiring developers and deployers of high-risk AI systems (those making or substantially influencing decisions on education, employment, finance, government services, health care, housing, insurance or legal services) to use reasonable care against algorithmic discrimination, with documentation, risk programs, impact assessments and consumer notices, and requiring disclosure when consumers interact with AI. Reported favorably and referred to House Ways and Means December 24, 2025; it has not passed either house.

NY S01169
Passed One Chamber High Risk

Regulates the development and use of certain artificial intelligence systems to prevent algorithmic discrimination; requires independent audits of high risk AI systems; provides for enforcement by the attorney general as well as a private right of action.

New York's S 1169-B would regulate high-risk AI systems used in consequential decisions on employment, education, housing, health, finance and legal services. Developers and deployers would have to take reasonable care against algorithmic discrimination, commission independent audits, file reports and keep a risk management program; social scoring AI would be banned. The Senate passed it June 3, 2026 and delivered it to the Assembly; it has not passed the Assembly.

OH SB79
In Committee Medium Risk

Regulate the use of pricing algorithms

Ohio's SB 79 would bar using or distributing a pricing algorithm that uses or was trained with nonpublic competitor data, presume an unlawful agreement in certain cases, and require businesses with $5 million or more in gross receipts to disclose algorithmic pricing, with disclosure violations treated as unfair or deceptive acts. Introduced February 4, 2025; referred to the Senate Financial Institutions, Insurance and Technology Committee February 12, 2025; it has not passed.

NY A09654
In Committee High Risk

Enacts the New York Artificial Intelligence Civil Rights Act establishing protections for individual rights with respect to computational algorithms; establishes protections against the use of algorithms involved in consequential decisions, such as those that impact people's rights, civil…

New York's A 9654 (the New York Artificial Intelligence Civil Rights Act) would bar developers and deployers from using covered algorithms in consequential actions (such as employment, housing, credit, health care, insurance, education, criminal justice and government services) in ways that discriminate or have a disparate impact on protected characteristics. It would require independent audits where harm is plausible. Referred to the Assembly Science and Technology Committee January 21, 2026; it has not passed either house.

MD HB823
Dead/Failed Medium Risk

Generative Artificial Intelligence - Training Data Transparency

Maryland's HB 823 (2025) would have required developers of generative AI systems released on or after January 1, 2022 for public use in Maryland to publish documentation on their website describing the training data, on or before January 1, 2026 and before each release or substantial modification (new State Finance and Procurement section 3.5-807). A House Economic Matters hearing was set for February 18, 2025; the bill went no further and died when the session ended.

NY S03044
In Committee High Risk

Enacts the New York privacy act to require companies to disclose their methods of de-identifying personal information, to place special safeguards around data sharing and to allow consumers to obtain the names of all entities with whom their information is shared.

New York's S 3044 (the New York privacy act) would add a consumer data privacy article to the General Business Law. Covered businesses would have to give notice, honor opt-outs of targeted advertising, data sales and profiling used for decisions with legal or similarly significant effects, and run data protection assessments. Referred to Senate Internet and Technology Committee January 23, 2025; reported to Finance May 29, 2025; referred back to Internet and Technology January 7, 2026; it has not passed either house.

IL SB3890
In Committee High Risk

CONSUMER DATA PRIVACY

Illinois's SB 3890 would create the Illinois Data Privacy Protection Act, giving consumers rights to access, correct, delete and port their data, to opt out of targeted advertising, sales and profiling used for decisions with legal or similarly significant effects, and to question the result of such profiling. It would also create a data broker registry and deletion mechanism. Filed February 6, 2026; re-referred to Assignments May 22, 2026; it has not passed either house.

US SB2997
Introduced Medium Risk

Right to Override Act

The federal S. 2997 (Right to Override Act) would require covered entities that employ or engage health care professionals and use AI clinical decision support (AI/CDSS) to adopt an override policy, train staff and run an AI/CDSS committee, and would bar adverse employment action or retaliation for overriding an AI output. HHS would enforce Title I with civil monetary penalties; Labor would enforce Title II with penalties up to $76,987 per violation ($769,870 for repeats), alongside a private right of action. Introduced October 9, 2025 and referred to the Senate HELP Committee; no further action.

OH SB164
In Committee Medium Risk

Regulate the use of artificial intelligence by health insurers

Ohio's SB 164 would add section 3902.80 requiring health plan issuers to report annually to the superintendent of insurance on their use of AI-based algorithms in utilization review, and barring decisions about a covered person's care, including denials, delays or modifications based on medical necessity, based solely on AI results. Medical necessity determinations would require a licensed physician or qualified provider. It was introduced April 1, 2025 and referred to the Senate Financial Institutions, Insurance and Technology Committee April 2, 2025.

IL HJR0050
In Committee Low Risk

PRP & ISBE AI ANALYSIS

Illinois's HJR 50 (104th General Assembly) is a House joint resolution that would direct the Professional Review Panel and the State Board of Education to analyze and model the current, likely and potential impacts of AI and related technologies on the cost factors in the evidence-based funding model, with a report due by December 31, 2027. It would not change the law. Re-referred to Rules July 1, 2026.

US HB7826
Introduced Low Risk

HBCU AI Research Leadership Act

The federal H.R. 7826 (HBCU AI Research Leadership Act) would amend the National Artificial Intelligence Initiative Act of 2020 so that, in awarding financial assistance for National AI Research Institutes, the agency head must designate not less than ten percent of that assistance for Institutes at eligible historically Black colleges and universities or consortia of them. Introduced March 5, 2026 and referred to the House Science, Space, and Technology Committee; no further action.

US SB3308
Introduced Medium Risk

Artificial Intelligence Civil Rights Act of 2025

The federal S. 3308 (Artificial Intelligence Civil Rights Act of 2025) would bar developers and deployers from offering or using a covered algorithm in a way that causes or contributes to disparate impact or otherwise discriminates based on a protected characteristic in consequential actions such as employment, education, housing, health care, credit, insurance and government benefits. It would require independent-auditor evaluations and annual assessments, public disclosures, human alternatives and appeals, with enforcement by the FTC, State attorneys general and private suits. Introduced December 2, 2025 and referred to the Senate Commerce Committee; no further action.

US SB3150
Introduced Medium Risk

GAIN AI Act of 2025 Guaranteeing Access and Innovation for National Artificial Intelligence Act of 2025

The federal S. 3150 (GAIN AI Act of 2025) would amend the Export Control Reform Act to require a license to export, reexport or transfer advanced AI integrated circuits designed or marketed for data centers to entities in or headquartered in countries of concern. Applicants would have to certify that U.S. persons had a right of first refusal and that the sale creates no backlog for U.S. buyers, and licenses without it would be denied. Introduced November 6, 2025 and referred to the Senate Banking, Housing, and Urban Affairs Committee; no further action.

US HB5511
Introduced Medium Risk

Algorithmic Accountability Act of 2025

The federal H.R. 5511 (Algorithmic Accountability Act of 2025) would direct the FTC to issue regulations within 2 years requiring covered entities to assess the impact of covered algorithms before and after deployment and file summary reports. Covered entities include those with over $50,000,000 in average annual gross receipts or $250,000,000 in equity value, or data on over 1,000,000 consumers, households or devices. Violations would be treated as FTC rule violations, and state attorneys general could sue. Introduced September 19, 2025 and referred to the House Energy and Commerce Committee; no further action.

US SB2528
Introduced Medium Risk

Unleashing AI Innovation in Financial Services Act

The federal S. 2528 (Unleashing AI Innovation in Financial Services Act) would require each federal financial regulatory agency to establish, or identify an office to serve as, an AI Innovation Lab where regulated entities may apply to run AI test projects under an alternative compliance strategy waiving or modifying a regulation. Agencies would have 120 days to decide (extendable by 120 days, after which the application is deemed approved) and must issue rules within 180 days after enactment. Introduced July 29, 2025 and referred to the Senate Banking Committee; no further action.

US HB3060
Introduced Medium Risk

No Biometric Barriers to Housing Act of 2025

The federal H.R. 3060 (No Biometric Barriers to Housing Act of 2025) would, starting 1 year after enactment, bar owners of covered federally assisted rental housing from using or authorizing facial recognition, physical biometric or remote biometric recognition technology in a unit or its building or grounds for surveillance or any use that adversely affects tenants' fair access to housing. HUD must report within 1 year. Introduced April 29, 2025 and referred to the House Financial Services Committee; no further action.

US HJR51
Introduced Medium Risk

Providing for congressional disapproval under chapter 8 of title 5, United States Code, of the rule submitted by the Bureau of Consumer Financial Protection relating to "Quality Control Standards for Automated Valuation Models".

The federal H.J.Res. 51 is a joint resolution under the Congressional Review Act that would disapprove the Bureau of Consumer Financial Protection rule "Quality Control Standards for Automated Valuation Models" (89 Fed. Reg. 64538, August 7, 2024). If enacted, the rule would have no force or effect. Introduced February 12, 2025 and referred to the House Financial Services Committee; no further action.

CO HB 1139
Enacted Medium Risk

Use of Artificial Intelligence in Health Care

Colorado's HB 26-1139 regulates AI in utilization review. Insurers, PBMs, utilization review organizations, behavioral health administrative services organizations and managed care entities that use it must ensure the AI relies on the individual's clinical information, not solely group data, does not unlawfully discriminate, keeps audit logs and is periodically reviewed, and must disclose their AI use and human oversight to regulators. A medical-necessity denial may not rest solely on AI output without a competent clinician's review and approval. Health plans, Medicaid and CHP+ may not pay for psychotherapy conducted by AI. Signed June 2, 2026 (Chapter 325); effective January 1, 2027.

US HB9309
Dead/Failed Medium Risk

Unleashing AI Innovation in Financial Services Act

The federal H.R. 9309 (Unleashing AI Innovation in Financial Services Act) would have required each financial regulatory agency to set up a regulatory sandbox where regulated entities could test AI projects with waivers of rules. Agencies would have had 90 days to decide applications, and an undecided application after a 90-day extension would be deemed approved. Introduced August 6, 2024 and referred to the House Financial Services Committee; it died when the 118th Congress ended on January 3, 2025.

OK HB3299
Dead/Failed Medium Risk

Crimes and punishments; creating and disseminating a digitization or synthetic media; making certain acts unlawful; emergency.

Not law. The committee substitute for HB 3299 would have made it a misdemeanor in Oklahoma (up to 1 year and $1,000) to create and disseminate synthetic media of another person's name, image, voice or likeness without written consent and with intent to deceive and cause harm, and a felony (up to 5 years and $10,000) when it causes over $25,000 in financial harm or is used for extortion or blackmail. It would also have required disclosure of synthetic media in political ads and attestations from content creators. It cleared House committees in February 2026 but never received a House floor vote.

KY HB7
Enacted

AN ACT relating to autonomous vehicles.

Kentucky's HB 7 (2024 Ky. Acts Ch. 176), enacted over the Governor's veto, sets rules for fully autonomous vehicles in KRS Chapter 186. Vehicles with automated driving systems may operate on public highways if they meet the act's requirements, including a law enforcement interaction plan filed with the Transportation Cabinet and State Police, single-limit liability coverage or self-insurance of at least $1,000,000, and titling and registration. Until July 31, 2026, fully autonomous vehicles over 62,000 pounds must carry a credentialed human driver to monitor and intervene. The Transportation Cabinet is the sole regulator and local governments may not add rules.

NY A07634
Dead/Failed Medium Risk

Excludes a production using artificial intelligence or autonomous vehicles in a manner which results in the displacement of employees whose salaries are qualified expenses from the definition of qualified film for the purposes of the empire state film production credit.

New York's A 7634-B would have amended Tax Law § 24(b)(3) to exclude from the "qualified film" definition for the Empire State film production credit a production using artificial intelligence or autonomous vehicles in a manner that displaces employees whose salaries are qualified expenses, unless permitted by a current collective bargaining agreement. Introduced May 25, 2023 and last amended and recommitted to the Ways and Means Committee May 2, 2024; it never passed either chamber and died at the end of the 2023-2024 session.

NY A09149
Dead/Failed High Risk

Provides for notice requirements where an insurer authorized to write accident and health insurance in this state, a corporation organized pursuant to article forty-three of this chapter, or a health maintenance organization certified pursuant to article forty-four of the public health law uses…

New York's A 9149 (2023-2024 session) would have added Insurance Law § 338. Accident and health insurers, article 43 corporations and certified HMOs would have had to post on their websites whether they use AI-based algorithms in utilization review, submit the algorithms and training data to the Department for bias certification, and ensure a clinical peer reviewer documents review of individual clinical records before an adverse determination. Penalties included fines up to $5,000 per violation ($10,000 if willful) and license action. Introduced February 8, 2024 and referred to the Insurance Committee; it never advanced and died at the end of the 2023-2024 session.

KY HB135
Vetoed Medium Risk

AN ACT relating to autonomous vehicles.

Vetoed. Kentucky's HB 135 (2023) would have let fully autonomous vehicles (SAE level 4 or 5) run on Kentucky highways without a human driver if the system could reach a minimal risk condition after a failure and follow traffic laws. Operators would have filed a law enforcement interaction plan with the Transportation Cabinet and State Police and shown $5 million in liability coverage; the owner would have been the operator under traffic laws, public agencies could not ban the vehicles, and only the lead truck in a platoon would have needed a driver. The Governor vetoed it April 10, 2023.

MD SB739
Dead/Failed Medium Risk

Algorithmic Addiction Fund - Establishment

Maryland's SB 739 (2024) would have created the Algorithmic Addiction Fund, a special nonlapsing fund holding revenue the State receives from judgments or settlements with technology or social media companies on State-law damages claims, plus money appropriated in the State budget, for algorithmic addiction prevention and treatment. The Secretary of Health would set goals, run a grant program and report each November 1. A Senate Finance hearing was set for February 20, 2024; it died when the session ended.

TN HB2325
Enacted

AN ACT to amend Tennessee Code Annotated, Title 4, relative to the artificial intelligence advisory council.

Tennessee HB 2325 (Public Chapter 988) creates the Artificial Intelligence Advisory Council, a 24-member body chaired jointly by the state's chief information officer and the commissioner of finance and administration, with agency heads, the attorney general, legislators and appointed members. It must give the governor an action plan on capturing AI's economic benefits and using AI responsibly in state and local government, with a status report by May 1, 2025, annual reports covering labor-market effects and regulation recommendations, and a final report by December 31, 2028, when the act is repealed. Effective on signing, May 21, 2024.

MD HB872
Dead/Failed Medium Risk

Election Law – Campaign Materials – Disclosure of Use of Synthetic Media

Maryland's HB 872 (2024) would have required candidates, campaign finance entities, certain registrants and their agents to include a disclosure when they distribute campaign material made with or containing synthetic media (an image, audio or video intentionally manipulated with generative AI or other digital technology to create a realistic but false version) to anyone in Maryland. Violations would have been a misdemeanor (up to $1,000, 1 year, or both). A hearing was set for February 27, 2024; it went no further and died when the session ended.

MA H78
In Committee Medium Risk

Establishing the Massachusetts consumer data privacy act

Massachusetts H 78 would create the Massachusetts Consumer Data Privacy Act, giving consumers rights over personal data, including opting out of profiling for solely automated decisions with legal or similarly significant effects. After a hearing on April 9, 2025, the committee folded it into new draft H4746 on November 17, 2025, which was referred to House Ways and Means; the page shows no later action. Separately, Senate bill S2619 is in a conference committee (June 2026). Neither bill has passed both houses.

MS SB2569
Dead/Failed Medium Risk

Transportation; allow and regulate autonomous vehicles.

Mississippi's SB 2569 (2023), the "Mississippi Fully Autonomous Vehicle Enabling (MS FAVE) Act of 2023," would, per its title, have authorized fully autonomous vehicles (SAE Level 4 or 5) to operate on public roads without a human driver while the automated driving system is engaged and certain conditions are met. This is the Senate-passed version; the House passed it as amended on February 23, 2023, but it died on the calendar on March 10, 2023.

IL SB3114
Enacted Medium Risk

TRANSPARENCY IN DOWNCODING ACT

The Transparency in Downcoding Act regulates how health care payors reduce the billing code on medical claims. Section 15 prohibits a payor from implementing any policy or using any algorithm or other automated process, system or tool that bypasses evaluation of the information submitted by the billing health care professional in order to downcode a claim. Payors may use automated processes to flag claims that may justify downcoding under AMA CPT coding guidelines, but every downcoding determination must be made or reviewed by a natural person. The Act applies to policies issued, amended, delivered or renewed on or after January 1, 2028, and is a limit on home rule powers.

NE LR430
Dead/Failed Medium Risk

Interim study to examine the impact of artificial intelligence on Nebraska's private and public sectors, including the technology and insurance sectors

Not a law. Nebraska LR430 (2024), introduced by Senator Bostar, is an interim study resolution that designated the Banking, Commerce and Insurance Committee to study the impact of artificial intelligence on Nebraska's private and public sectors, including the technology and insurance sectors, and to recommend policies. Introduced March 26, 2024, it was referred to the committee April 5, 2024; no hearing or report is shown. A resolution does not change the law.

CO HB 1148
Dead/Failed Medium Risk

Protections for Youth on Social Media

Colorado's HB 26-1148 as introduced would add minor-protection duties for online gaming businesses (default privacy settings, an account-deletion tool, limits on using a minor's data to recommend media, a 5% fee on minors' add-on purchases) and would require social media platforms to disclose their algorithmic recommendation systems and bar using them to distribute illicit substances to minors. House Judiciary postponed it indefinitely 8-3 on April 7, 2026; it did not pass.

NH SB216
Enacted Medium Risk

Establishing an autonomous vehicle advisory commission, establishing an autonomous vehicle testing pilot program, and providing requirements for automated vehicle deployment.

New Hampshire's SB 216 creates an Autonomous Vehicle Advisory Commission (RSA 241) and an automated vehicle testing and deployment pilot program run by the Division of Motor Vehicles (RSA 242). Testing entities need department approval, $5 million in financial responsibility and pay a $500 annual fee; driverless vehicles and on-demand driverless networks may operate if conditions are met. Signed August 2, 2019 (Chapter 310); the commission provisions took effect August 2, 2019, RSA 242:1 I-VIII, XIII and XIV on September 1, 2019 and RSA 242:1 IX-XII on July 1, 2021.

US SB2164
Introduced Medium Risk

Algorithmic Accountability Act of 2025

The federal S. 2164 (Algorithmic Accountability Act of 2025) would direct the FTC to issue regulations within 2 years requiring covered entities that deploy automated decision systems in critical decisions to assess their impact before and after deployment and file summary reports. Covered entities include those with over $50,000,000 in average annual gross receipts or $250,000,000 in equity value, or data on over 1,000,000 consumers, households or devices. Violations would be treated as FTC rule violations; state attorneys general could sue. Introduced June 25, 2025 and referred to the Senate Commerce Committee; no further action.

NJ A4935
Dead/Failed Medium Risk

Establishes Artificial Intelligence Apprenticeship Program and artificial intelligence apprenticeship tax credit program.

New Jersey's A4935 would establish an Artificial Intelligence Apprenticeship Program in the Department of Labor and Workforce Development, with corporation business tax and gross income tax credits for periods beginning in 2026. The credit is one-half of a qualified apprentice's wages, up to $5,000. Introduced October 21, 2024. A bill of the Legislature's 2024-2025 session, which ended January 13, 2026.

NJ A5033
Dead/Failed Low Risk

Establishes public-private partnerships to develop artificial intelligence job training.

New Jersey's A5033 would let the Commissioner of Labor and Workforce Development contract with a private entity that takes on full financial and administrative responsibility for developing AI job training, including retraining for displaced workers and building AI skills in the State workforce. Each agreement would create an advisory council reporting annually to the Governor and Legislature. The entity would be exempt from procurement and certain prevailing wage requirements. Introduced November 14, 2024. A bill of the Legislature's 2024-2025 session, which ended January 13, 2026.

AL SB 63
Enacted Medium Risk

Health care plans; to regulate the use of artificial intelligence in determinations of coverage

Alabama's SB 63 (Act 2026-589) limits how health benefit plan providers, including insurers, HMOs and utilization review contractors, use AI in prior authorization. AI-assisted medical necessity determinations must rest on the enrollee's medical history, clinical circumstances presented by the requesting provider and other information in the record, and any denial, delay or modification must be made by a licensed physician or other competent health care professional. Providers must certify their AI annually to the Department of Insurance, disclose its use and review its outcomes. Fines up to $5,000 for repeat violations. Signed April 16, 2026; effective October 1, 2026.

KY HB58
Enacted Medium Risk

AN ACT relating to privacy protection.

Kentucky's HB 58 (2026) makes it unlawful for anyone, including the state and local governments, to use automated license plate readers (ALPRs: high-speed cameras plus data processing that turn vehicle and plate images into computer-readable data) except for listed purposes such as parking, secured-area access, public safety and auto theft, law enforcement, commercial vehicle enforcement and tolls. Captured data generally may not be kept over 90 days or sold or shared, with exceptions for police, insurers and lenders. Violations carry fines of $20 to $2,000, up to one year in jail, or both. Signed April 10, 2026 (Acts Ch. 71).

MN HF3893
Dead/Failed Medium Risk

Use of artificial intelligence in psychotherapy services regulated, and civil penalties provided.

Not law. Minnesota's HF 3893 (2nd engrossment) would have added Minn. Stat. 214.165, barring anyone from offering therapy or psychotherapy to the public unless a licensed professional conducts it, and barring licensed professionals from using AI to make independent therapeutic decisions, interact with clients therapeutically, generate unreviewed treatment plans or provide assessments. AI could do only administrative support. Licensing boards could fine up to $50,000 per violation. It was re-referred to Commerce Finance and Policy on April 7, 2026 and went no further.

MS SB2294
Enacted Low Risk

Education; institute initiatives to promote literacy in math, reading, finance, computer science, and civics.

Mississippi's SB 2294 is a broad education act: the Mississippi Math Act (the Moving Mathematics in Mississippi program), reading interventions for grades 4-8, financial literacy and civics requirements, and the Mississippi Future Innovators Act. Its AI provision is in the last: starting with the ninth-grade class entering in 2029-2030, public high school students must earn a computer science credit (or a career and technical course with embedded computer science) to graduate, and that course must teach emerging technologies such as AI, including what AI is, how it works and its impact on society. Approved April 8, 2026 (Chapter 479); effective July 1, 2026.

NJ S3984
Dead/Failed Medium Risk

Establishes public-private partnerships to develop artificial intelligence job training.

New Jersey's S3984 would let the Commissioner of Labor and Workforce Development contract with a private entity that takes on full financial and administrative responsibility for developing AI job training, including retraining for displaced workers and building AI skills in the State workforce. Each agreement would create an advisory council reporting annually to the Governor and Legislature. The private entity would be exempt from the Department's procurement rules and certain prevailing wage requirements. Introduced December 19, 2024. A bill of the Legislature's 2024-2025 session, which ended January 13, 2026.

TX SB815
Enacted Medium Risk

Relating to the use of certain automated systems in, and certain adverse determinations made in connection with, the health benefit claims process.

Texas's SB 815 bars utilization review agents from using an automated decision system to make, wholly or partly, an adverse determination (a finding that health care services are not medically necessary or appropriate, or are experimental or investigational). Such tools may still be used for administrative support or fraud detection, and the insurance commissioner may audit and inspect an agent's use of them at any time. Adverse determination notices must describe the screening criteria and review procedures used. Signed June 20, 2025; effective September 1, 2025; applies to utilization review for health benefit plans delivered, issued or renewed on or after January 1, 2026.

DC B25-0832
Dead/Failed High Risk

Deepfake Political Advertising Regulation Amendment Act of 2024

The District of Columbia's B25-0832, the Deepfake Political Advertising Regulation Amendment Act of 2024, would have required campaign material containing AI-generated "artificial media" to carry a disclosure statement, barred knowingly distributing artificial media within 90 days of an election, and allowed injunctive relief and Campaign Finance Board civil fines. Introduced June 5, 2024 and referred to committee, it was not enacted and died when Council Period 25 ended.

MN HF4131
Dead/Failed Medium Risk

Surveillance-based price and wage discrimination prohibited.

Not law. Minnesota's HF 4131 would have added Minn. Stat. 325D.141 prohibiting surveillance-based price discrimination and wage discrimination, meaning use of an automated decision system to inform individualized prices or wages from surveillance data about a consumer or worker. Listed cost, group-discount and insurer risk exceptions would apply, and wage-setters would have to disclose the data and how the system uses it. The text has no penalties or enforcer. Introduced March 9, 2026; effective August 1, 2026 if enacted.

IA HSB 766
In Committee High Risk

A bill for an act relating to the licensure of artificial intelligence augmented and autonomous service providers, and including penalties.

Iowa's HSB 766, a House Appropriations study bill, would create a board of autonomous medical practice to license AI augmented and autonomous service providers (AAASPs) that run clinical AI services. A license would be required for fully autonomous AI and for certain advisory and supervised AI. Providers would face patient disclosures, a duty of loyalty, insurance and bond requirements, and civil penalties up to $1,000 per violation per day. A subcommittee recommended passage March 24, 2026; it has not passed either chamber.

CO SB24-205
Enacted High Risk

Colorado Artificial Intelligence Act

Colorado's SB 24-205 (the Colorado AI Act) covers high-risk AI that makes, or is a substantial factor in making, consequential decisions such as hiring, lending, housing, insurance and health care. Developers and deployers must use reasonable care against algorithmic discrimination; deployers need risk programs, impact assessments and notices. Signed May 17, 2024 (Chapter 198). Duties run from June 30, 2026 (SB 25B-004) until SB 26-189 replaces Part 17 on January 1, 2027. Under a stipulated April 27, 2026 order in X. AI LLC v. Weiser (D. Colo.), the Attorney General may not start enforcement over violations through 14 days after a ruling on xAI's planned preliminary-injunction motion.

TN HB1468
Dead/Failed Medium Risk

AN ACT to amend Tennessee Code Annotated, Title 29; Title 45; Title 47 and Title 66, relative to algorithmic pricing.

Tennessee's HB1468 (114th General Assembly) would have barred an entity from setting the price of a specific good or service for a consumer in Tennessee using personalized algorithmic pricing, meaning dynamic pricing set by an algorithm that uses personal data. A violation would have been an unfair or deceptive act under the Tennessee Consumer Protection Act of 1977. Insurers, certain financial institutions and some subscription prices were exempt. Companion: SB 1807. Not passed before the session ended in April 2026; last action: Sponsor(s) withdrawn. (March 18, 2026).

NY S8828
Enacted High Risk

Relates to transparency and safety requirements for developers of artificial intelligence models

New York's S 8828 (Chapter 96 of 2026) is the chapter amendment to the RAISE Act (Chapter 699 of 2025). It repealed and replaced General Business Law Article 44-B and set the effective date at January 1, 2027. Developers of frontier models (over 10^26 training operations) must publish transparency reports when deploying and report critical safety incidents to a Department of Financial Services office within 72 hours. Those with over $500 million in revenue must also publish and follow a frontier AI framework, report internal-use risk assessments, file disclosure statements and pay assessments, and face Attorney General penalties up to $1 million, then $3 million. Signed March 27, 2026.

MS HB1489
Dead/Failed Medium Risk

Technology Innovation Fund; establish.

Mississippi's HB 1489 (2025) would establish a Technology Innovation Fund, administered by the Department of Information Technology Services, to finance technology projects that improve government service delivery, including research, prototyping and piloting of emerging technologies such as artificial intelligence, blockchain, data analytics and cloud computing. It would be capitalized with $5,000,000 for fiscal year 2026 or another source set by the Legislature. It died in committee on February 4, 2025.

IL HB4544
Introduced High Risk

ALGORITHMIC PRICING

Illinois's HB 4544 would create the Preventing Algorithmic Pricing Discrimination Act. Anyone who knowingly advertises personalized algorithmic pricing based on a person's consumer data would have to state that the price was set by an algorithm using the person's personal data, and pricing could not use protected class data to deny or vary offers. Filed January 22, 2026; referred to the House Rules Committee January 30, 2026 (co-sponsor added February 18, 2026); it has not passed either house.

IA HF2635
Enacted Medium Risk

A bill for an act relating to health carriers standards of conduct; utilization review organizations, artificial intelligence, audits, and prior authorizations; certificate of need processes; and including applicability provisions. (Formerly HF 2438.) Effective date: 07/01/2026.

Iowa's HF 2635 is a health insurance and certificate-of-need law. Its AI rule (Iowa Code § 514F.8(2A)) lets a utilization review organization use an AI-based algorithm or system for the initial review of a prior authorization request, but for a request based on medical necessity AI may not be the sole basis for denying, delaying or downgrading it. The act also requires denials to be made by a same- or similar-specialty physician or clinical peer, sets audit deadlines, bars prior authorization for certain cancer screenings and inpatient emergencies, and raises certificate-of-need thresholds. Signed May 13, 2026 (Acts Chapter 1087); effective July 1, 2026, with many rules applying from 2027.

SC S920
Dead/Failed Medium Risk

Health insurance

Not law. S. 920 would have required South Carolina health insurers that use AI, algorithms or other software for prior authorization to base decisions on the patient's own medical history and clinical circumstances, have a licensed physician or other qualified professional make every denial, reduction or deferral, tell enrollees that AI is used, certify yearly that their tools are fair and non-discriminatory, and share denial rates on request, with Department of Insurance enforcement. The Senate Banking and Insurance Committee reported it favorably on April 30, 2026, but it was never taken up before the regular session ended.

TX HB4018
Dead/Failed Medium Risk

Relating to use of artificial intelligence in utilization review conducted for health benefit plans.

Texas HB 4018 (2025), as introduced, would have added Insurance Code Sec. 4201.156, requiring a utilization review agent that uses an AI-based algorithm or other software tool to ensure it bases determinations on the enrollee's clinical history and circumstances, does not override a physician or provider, and does not discriminate. The agent could not use AI as the sole basis to deny, delay or modify health care services. It died when the regular session adjourned June 2, 2025.

PA HB1925
Passed One Chamber Medium Risk

Providing for artificial intelligence in facilities, for artificial intelligence use by insurers and for artificial intelligence use by MA or CHIP managed care plans; imposing duties on the Department of Health, the Insurance Department and the Department of Human Services; and imposing penalties.

Pennsylvania's HB 1925 (2025-26), as amended (Printer's No. 3963), would add rules for AI in health care facilities, AI use by insurers and AI use by MA or CHIP managed care plans, with duties for the departments of Health, Insurance and Human Services and penalties. The captured text covers the facilities chapter: patient disclosure and responsible-use rules for AI in clinical decision making. It passed the House 144-59 on September 30, 2026.

NY A05216
In Committee Medium Risk

Requires state units to purchase a product or service that is or contains an algorithmic decision system that adheres to responsible artificial intelligence standards; specifies content included in responsible artificial intelligence standards; requires the commissioner of taxation and finance to…

New York's A 5216 would add State Finance Law § 165(10) requiring state units buying a product or service that is or contains an algorithmic decision system to purchase one that adheres to responsible AI standards (harm avoidance, transparency, fairness, evaluation), with the tax commissioner adopting regulations, and would amend Executive Law § 292(4) so unlawful discriminatory practices include acts performed through an algorithmic decision system. Would take effect on January 1 next succeeding enactment. Referred to Governmental Operations February 12, 2025 and January 7, 2026; it has not passed either chamber.

US HB7576
Introduced Medium Risk

AI Workforce Training Act

H.R. 7576, the AI Workforce Training Act, would add Internal Revenue Code section 45BB, a general business credit equal to 30 percent of a taxpayer's qualified AI training expenses, capped at $2,500 per trained employee per year, for taxable years beginning after December 31, 2025. Introduced February 13, 2026 and referred to the House Ways and Means Committee; it has not passed either house.

TX HB5496
Dead/Failed High Risk

Relating to the disclosure and use of artificial intelligence.

Texas HB 5496 (2025), as introduced, would have added Chapter 611 to the Business & Commerce Code. A person using AI in conducting business or providing a good or service to a Texas resident, including social media, political advertising or financial services, would have had to maintain AI industry best-practice standards, give individuals a tool to detect AI use, explain how and why an AI decision was reached, and ensure the AI does not show bias or discriminate on any legally protected classification. A violation would have been a deceptive trade practice. No enrolled version exists, so it died June 2, 2025.

RI HB7350
Enacted Medium Risk

AN ACT RELATING TO COMMERCIAL LAW--GENERAL REGULATORY PROVISIONS -- ARTIFICIAL INTELLIGENCE COMPANION MODELS

Rhode Island's AI companion law, effective January 1, 2027, applies to operators of AI companions: AI that simulates a sustained human-like relationship by remembering users, asking unprompted emotional questions and keeping up a personal dialogue. Operators must have a protocol for addressing possible suicidal ideation, self-harm or physical harm to others expressed by a user, with a referral to crisis services when detected, and must tell users at the start of an interaction and every three hours that they are not talking to a human. From July 1, 2027 operators file annual reports with the Attorney General, who enforces with penalties up to $15,000 a day. Signed June 22, 2026.

NY A10494
Dead/Failed High Risk

Imposes liability for misleading, incorrect, contradictory or harmful information to a user by a chatbot that results in financial loss or other demonstrable harm.

New York's A 10494 would have added General Business Law § 390-f barring a chatbot proprietor (an entity with more than twenty employees) whose chatbot serves as an alternative to a human representative from disclaiming liability when the chatbot gives “materially misleading, incorrect, contradictory or harmful information” causing financial loss or other demonstrable harm, unless it cured the harm within thirty days of notice. Clear notice that users face an AI chatbot was also required. Referred to Consumer Affairs and Protection May 29, 2024; it died at the end of the 2023-2024 session.

VT H0340
Dead/Failed High Risk

An act relating to regulating developers and deployers of certain automated decision systems

Vermont's H.340 (2025-2026 biennium) would have regulated developers and deployers of automated decision systems used for consequential decisions in areas such as education, employment, housing, health care, financial services and government services. It would have made algorithmic discrimination unlawful, required independent audits and reports to the Attorney General, notices, explanations and human-review appeals for consumers, and a risk management program. It was referred to House Commerce on February 25, 2025 and died when the biennium ended.

NY S01012
Dead/Failed High Risk

Provides that a person may operate a fully autonomous vehicle on the public roads of this state without a human driver provided that the automated driving system is engaged and the vehicle meets certain conditions; defines terms; requires insurance and that such vehicle is registered as a fully…

New York's S 1012-B (2023-2024 session) would have added Vehicle and Traffic Law Article 34-E allowing a person to operate a fully autonomous (SAE level 4 or 5) vehicle on public roads without a human driver while its automated driving system is engaged, subject to conditions, a law enforcement interaction plan, proof of insurance and registration as a fully autonomous vehicle. The state would have governed these vehicles exclusively, with any city of five million or more people able to set local for-hire rules. It was referred to the Transportation Committee and last amended March 1, 2024; it did not pass, and the session ended without action.

NY S01042
Enacted Medium Risk

Includes "deep fake" images created by digitization within the definition of unlawful dissemination or publication of an intimate image.

New York's S 1042-A extends the crime of unlawful dissemination or publication of an intimate image (Penal Law § 245.15), a class A misdemeanor, to images created or altered by digitization, meaning realistically altered using images of another person or computer-generated images. It is a crime to intentionally disseminate or publish, with intent to harm a person's emotional, financial or physical welfare, an image of that identifiable person with intimate parts exposed or engaged in sexual conduct with another person, when the actor knew or reasonably should have known the person did not consent. Signed September 29, 2023 (Chapter 513); effective November 28, 2023.

IA SF2421
Dead/Failed High Risk

A bill for an act relating to utilization review organizations' use of artificial intelligence, prior authorization determinations and exemptions, and audits, and including applicability provisions. (Formerly SSB 3118.)

Iowa's SF 2421 (formerly SSB 3118) would have let utilization review organizations use an AI-based algorithm for initial review of prior authorization requests but not as the sole basis to deny, delay or downgrade a medical-necessity request, and would have required review by a qualified reviewer or clinical peer, written reasons, and deadlines for claim audits. HF 2635 was substituted and SF 2421 was withdrawn March 4, 2026.

GA SB 444
Enacted Medium Risk

Private Review Agents; certain decisions with regard to the provision of insurance coverage for healthcare services shall not be based solely on artificial intelligence systems; provide

Georgia Act 411, effective January 1, 2027, adds O.C.G.A. 33-46-7.1 for health insurance utilization review. Private review agents and utilization review entities may use AI and other software tools as part of a utilization review plan that meets state standards and Insurance Commissioner rules, including to automate tasks and take part in decisions. But no adverse determination may be issued to a patient until a natural person qualified as a private review agent or utilization review entity conducts a review in which a clinical peer participates, and AI may never supersede that clinical peer's judgment.

RI SB2195
Enacted Medium Risk

AN ACT RELATING TO COMMERCIAL LAW--GENERAL REGULATORY PROVISIONS -- ARTIFICIAL INTELLIGENCE COMPANION MODELS

Rhode Island's AI companion law, effective January 1, 2027, applies to operators of AI companions: AI that simulates a sustained human-like relationship by remembering users, asking unprompted emotional questions and keeping up a personal dialogue. Operators must have a protocol for addressing possible suicidal ideation, self-harm or physical harm to others expressed by a user, with a referral to crisis services when detected, and must tell users at the start of an interaction and every three hours that they are not talking to a human. From July 1, 2027 operators file annual reports with the Attorney General, who enforces with penalties up to $15,000 a day. Signed June 22, 2026.

NY S09381
Dead/Failed High Risk

Imposes liability for misleading, incorrect, contradictory or harmful information to a user by a chatbot that results in financial loss or other demonstrable harm.

New York's S 9381 (2023-2024) would have added General Business Law section 390-f on chatbots. A proprietor with more than twenty employees that uses a chatbot in place of a human representative could not disclaim liability for materially misleading, incorrect, contradictory or harmful information causing financial loss or other demonstrable harm, with no liability if cured within 30 days of notice, and must give clear notice users are talking to an AI chatbot. Referred to Internet and Technology May 14, 2024; it died when the 2023-2024 session ended.

MA S46
In Committee Medium Risk

Relative to the use of artificial intelligence and other software tools in healthcare decision-making

Massachusetts S46 would amend G.L. c. 176O, s. 12 so that insurers using AI, algorithms or software for medical-necessity review may not let the tool deny, delay or modify care; only a licensed physician or competent licensed professional may decide. On October 16, 2025 it accompanied new draft S2632, which on April 2, 2026 was sent to Senate Ways and Means with an ought-to-pass recommendation.

WA HB2157
Dead/Failed Medium Risk

Regulating high-risk artificial intelligence system development, deployment, and use.

Washington's HB 2157 (Substitute House Bill, 2026 session) would have required developers and deployers of high-risk AI systems, those specifically intended to make, or be a substantial factor in making, consequential decisions such as employment, lending, housing, insurance, health care and education, to use reasonable care against algorithmic discrimination, with developer documentation, deployer risk programs and impact assessments, consumer notices, and private lawsuits. It died when the session adjourned March 12, 2026, after the House Rules "X" file on February 19.

GA SB167
Dead/Failed High Risk

Commerce and Trade; private entities that employ certain AI systems to guard against discrimination caused by such systems; provide

Georgia's SB 167 would add a new Chapter 16 to Title 10 regulating automated decision systems used for consequential decisions (education, employment, essential government services, financial or lending services, healthcare, housing, insurance and legal services). Developers could not make available a system that results in algorithmic discrimination and would have to provide information to the Attorney General. According to its title, deployers would also have duties, and the Attorney General would enforce. The bill was read and referred on February 13, 2025 and died when the session ended.

US SB1399
Introduced Medium Risk

Health Tech Investment Act

The federal S. 1399 (Health Tech Investment Act) would amend the Social Security Act so Medicare pays for FDA-cleared or approved AI and machine learning "algorithm-based healthcare services" under a new technology ambulatory payment classification, set from the manufacturer's submitted cost and kept for at least 5 years. It applies to outpatient services furnished on or after January 1, 2026. Introduced April 9, 2025 and referred to the Senate Finance Committee; no further action.

IL SB 3368
In Committee Medium Risk

CHATBOT RESPONSE LIABILITY ACT

Illinois's SB 3368 (104th General Assembly) would create the Chatbot Response Liability Act. A chatbot proprietor could not disclaim liability when its chatbot gives materially misleading, incorrect, contradictory or harmful information resulting in financial loss, other demonstrable harm or bodily harm to the user or a third party, would have to give clear notice that users are talking to AI, and would face companion chatbot rules including parental consent for minors. Re-referred to Assignments May 22, 2026.

US HB4801
In Committee Medium Risk

Unleashing AI Innovation in Financial Services Act

U.S. Congress's H.R. 4801, the Unleashing AI Innovation in Financial Services Act (119th Congress), would require each federal financial regulatory agency to set up an AI Innovation Lab where regulated financial entities could apply to run AI test projects under waived or modified regulations and an alternative compliance strategy. The Financial Services Committee ordered it reported, as amended, 33-19 on May 13, 2026. It was reported June 24, 2026 and awaits House action.

AK HB367
Dead/Failed Medium Risk

Consumer Data Privacy Act

Alaska's HB 367 (2026), as the House Judiciary committee substitute CSHB 367(JUD), would have created a consumer data privacy article in AS 45.48 and a data broker registry, amended the social security number laws, and made certain violations unfair or deceptive trade practices. It would have applied to businesses that collected or processed the data of at least 35,000 consumers (or 10,000 consumers with over 20 percent of gross revenue from selling data). It was referred to House Finance on May 12, 2026 and died when the session ended May 20, 2026.

HI SB59
Dead/Failed High Risk

Relating To Algorithmic Discrimination.

Hawaii's SB 59 (2025) would have added an Algorithmic Discrimination chapter. Covered entities (those holding data on more than 25,000 residents, over $15,000,000 in receipts, data brokers, or service providers) could not use algorithmic processes using machine learning, AI or similar techniques to decide eligibility for credit, insurance, education, employment, housing or public accommodations in a discriminatory way, and would owe notices, annual audits and reports. Penalties up to $10,000 per violation, plus private suits. Referred January 16, 2025 and carried over to 2026, it died.

SC S0920
Introduced Medium Risk

Health insurance

South Carolina's Bill S0920 requires health insurers to consider factors like bias and transparency when using AI, mandates disclosures about AI usage to enrollees, and details disciplinary actions such as fines or license suspensions for violations.

HI HB1787
Dead/Failed High Risk

Relating To Health Care.

Hawaii's House Bill 1787 (2026) would have set rules for health carriers and utilization review organizations that use AI, algorithms or other software tools in utilization review: determinations would have to rest on individual clinical history, be open to commissioner inspection and be reviewed at least quarterly. It would also have barred using these tools to deny, delay or modify care, and required a licensed provider to review adverse actions. It was referred to committees January 26, 2026 and not enacted.

MI HB5141
Enacted Medium Risk

Campaign finance: advertising; using artificial intelligence in certain political advertisements; require disclosure. Amends sec. 47 of 1976 PA 388 (MCL 169.247) & adds sec. 59. TIE BAR WITH: HB 5143'23

Michigan's HB 5141 (Public Act 263 of 2023) requires whoever creates, originally publishes or originally distributes a qualified political advertisement (a paid ad about a Michigan candidate, election or ballot question with image, audio or video generated in whole or substantially with AI) to state clearly and conspicuously that it was generated in whole or substantially by AI, with size, timing and language rules for print, audio and video. Fines: up to $250 for a first violation, up to $1,000 for each later one. AI-generated political robocalls need a disclaimer. Approved November 30, 2023; effective February 13, 2024.

NY S03008
Enacted Medium Risk

Enacts into law major components of legislation necessary to implement the state transportation, economic development and environmental conservation budget for the 2025-2026 state fiscal year; relates to the waterfront commission act; makes amendments to change "applicant" to "licensee or…

New York's 2025-26 budget bill (Chapter 58 of 2025) includes two AI laws. Part U requires operators of AI companions (AI that simulates a sustained human-like relationship) to make reasonable efforts to detect and address suicidal ideation or self-harm and refer users to crisis services such as 988, and to tell users at the start of an interaction and every three hours that they are not talking to a human; the Attorney General can seek up to $15,000 a day (in effect since November 5, 2025). Part X requires businesses using personalized algorithmic pricing to show 'THIS PRICE WAS SET BY AN ALGORITHM USING YOUR PERSONAL DATA' (since July 8, 2025).

WV HCR94
Dead/Failed Low Risk

Requesting a study regarding the creating of an artificial intelligence elective course to be offered in high schools

West Virginia's HCR 94 (2025 regular session) is a concurrent resolution that would have requested the Joint Committee on Government and Finance to study creating an Artificial Intelligence Education Program, offered as an elective, in public high schools and report to the 2026 regular session with findings, recommendations and draft legislation. It was referred to House Rules on March 18, 2025 and went no further. It is a resolution and does not change the law.

NE LR421
Dead/Failed Medium Risk

Interim study to examine the current status of artificial intelligence legislation occurring at the state and federal levels to address risks to public safety and to determine what action Nebraska should take to address such risks

Not a law. Nebraska LR421 (2026), introduced by Senator Storer, is an interim study resolution that designates the Banking, Commerce and Insurance Committee to study the status of state and federal artificial intelligence legislation addressing public safety risks and what Nebraska should do. It cites LB1083. Introduced March 24, 2026, it was referred to the Executive Board and then, on March 30, 2026, to that committee; no hearing or report is shown. A resolution does not change the law.

WA HB2667
Dead/Failed Medium Risk

Providing consumer protections for artificial intelligence systems.

Washington's HB 2667 (2026 session), the House companion to SB 6284, would have required deployers of high-risk AI systems used for consequential decisions on education, employment, lending, health care, housing, insurance, legal services and similar matters to guard against algorithmic discrimination. Deployer duties would start July 1, 2027 and consumer notice July 1, 2026; only the Attorney General could enforce. It had a first reading on January 26, 2026, never got a hearing and died at adjournment on March 12.

NY A00768
In Committee High Risk

Enacts the "New York artificial intelligence consumer protection act", in relation to preventing the use of artificial intelligence algorithms to discriminate against protected classes.

New York's A 768, the "New York artificial intelligence consumer protection act," would add General Business Law Article 45-A. Beginning January 1, 2027, developers and deployers of high-risk AI decision systems used in consequential decisions (education, employment, lending, government services, health care, housing, insurance, legal services) would have to use reasonable care against algorithmic discrimination, with documentation, impact assessments, consumer notices and appeal rights. Only the Attorney General would enforce it. Referred to Consumer Affairs and Protection January 7, 2026; it has not passed either chamber.

WV HB4770
Dead/Failed Medium Risk

Establishing limitations on the use of artificial intelligence and artificial intelligence technology to deliver mental health care, with exceptions for administrative support functions

West Virginia's HB 4770 (2026 regular session, committee substitute) would have limited AI in mental health care. AI could assist only with administrative or supplementary support, with patient care, reimbursement or claims decisions not based exclusively on AI; AI could not act as or be marketed as a licensed professional, and licensed professionals could not let AI make independent therapeutic decisions. Violations would have carried civil penalties up to $10,000 each. It passed House Health and Human Resources but died in House Finance when the session ended March 14, 2026.

NY S07896
In Committee Medium Risk

Prescribes requirements and safeguards for the use of an artificial intelligence, algorithm, or other software tool for the purpose of utilization review for health and accident insurance.

New York's S 7896 would add Public Health Law § 4905-a and Insurance Law § 4905-a. A utilization review agent using AI, an algorithm or another software tool based on medical necessity must base determinations on the enrollee's clinical history, may not rely solely on a group dataset, and must not let the tool supplant provider decision-making. The tool could not deny, delay or modify services on medical necessity grounds; only a licensed physician or health professional could. Referred to Health January 7, 2026; it has not passed either chamber.

MD HB883
Dead/Failed Medium Risk

Consumer Protection - Artificial Intelligence - Behavioral Health Care Prohibitions

Maryland's HB 883 (2026, third reader text) would have barred developers of AI offered to Maryland consumers from representing that the AI is a behavioral health care provider or can provide behavioral health care, and from offering AI specifically programmed or designed to provide a service that would be behavioral health care if a provider delivered it. A violation would be an unfair, abusive or deceptive trade practice under the Maryland Consumer Protection Act. It passed the House 110-23 and was referred to Senate Finance, with a hearing set for April 1, 2026, but no further action is recorded and it died when the 2026 session ended.

MD HB1385
Dead/Failed Medium Risk

Health Insurance - Use of Artificial Intelligence - Human Evaluation

Maryland's HB 1385 (2026, first reader text) would have amended Insurance section 15-10B-05.1 so that audits and compliance reviews of AI, algorithms or software tools used by carriers for utilization review include a human evaluation of the patient's medical records by a licensed health care professional who can question, modify or override the tool's determination, and quarterly performance reviews include a human evaluation of real-world health outcomes. It had a House Health hearing set for March 12, 2026 and died when the 2026 session ended.

AZ HB2409
Dead/Failed Low Risk

Artificial intelligence; statewide education program

Died in the Senate. The 'Getting Arizona Ready for AI Act' would have created a voluntary Arizona Artificial Intelligence Education Program in the Department of Education: a summer course open to any resident, teaching digital hygiene (algorithmic bias, data privacy, spotting AI-generated misinformation) and practical AI skills for small businesses. Public schools, universities and community colleges could have awarded credit for it. It passed the House but was held in the Senate and died when the Legislature adjourned on June 13, 2026.

NY A03930
In Committee Medium Risk

Regulates the use of artificial intelligence in aiding decisions on rental housing and loans; requires a study on the impact of artificial intelligence and machine learning on housing discrimination and redlining.

New York's A 3930 would regulate algorithms in housing and lending. Landlords and banks using automated decision tools to screen applicants would need annual disparate impact analyses, 24-hour notice to applicants, and (landlords) public posting of results; landlords could not use pricing algorithms with nonpublic competitor data to set rent. Tenants could sue for damages. The housing agency would study AI and housing discrimination. Would take effect immediately. Referred to Housing January 30, 2025 and January 7, 2026; it has not passed either chamber.

LA HB880
Dead/Failed Medium Risk

Creates the Louisiana Artificial Intelligence Insurance Fairness Act (OR +$1,029,533 SG EX See Note)

Louisiana's HB880, the Louisiana Artificial Intelligence Insurance Fairness Act, would have regulated insurers that use algorithmic decision systems in homeowners, commercial property and casualty, auto, health or life insurance: annual independent disparate-impact audits, prohibited variables, human review of claims decisions, AI disclosures, and a right to explanation. Penalties would run up to $250,000 per violation and consumers could sue. It was considered in House Insurance April 23, 2026 and died.

TN HB1866
Dead/Failed Medium Risk

AN ACT to amend Tennessee Code Annotated, Title 8, Chapter 27; Title 56 and Title 71, relative to health insurance.

Tennessee's HB1866 (114th General Assembly), the "Regulate Artificial Intelligence (AI) in Health Care Act," would have barred, on or after July 1, 2026, a health insurance issuer that uses AI, an algorithm or other software tool for utilization review or management based in whole or in part on medical necessity from denying, delaying or modifying care on medical necessity grounds unless a licensed healthcare professional or provider reviews the prior authorization request. Companion: SB 2010. Not passed before the session ended in April 2026; last action: Taken off notice for cal in s/c Insurance Subcommittee of Insurance Committee (March 11, 2026).

US HB7786
Introduced Medium Risk

AI Fraud Accountability Act

The federal H.R. 7786 (AI Fraud Accountability Act) would make it a federal crime, in interstate or foreign communications, to pose in a "digital impersonation" (an AI- or software-generated image, video or audio indistinguishable from a real person) with intent to defraud someone of money or anything of value, punishable by a fine and up to 3 years in prison, with a parallel FTC-enforced ban. Introduced March 4, 2026 and referred to House committees; no further action.

HI SB2585
Dead/Failed Medium Risk

Relating To Artificial Intelligence.

Hawaii's SB 2585 (2026) would have required the Department of Health, with other agencies, to establish an AI-enhanced online clearinghouse of evidence-based treatment and prevention programs, use AI to classify programs by evidence level and cultural responsiveness, and have any AI model regularly audited for transparency, fairness and bias mitigation. The appropriation amount was blank. It was referred to committees January 28, 2026 and died.

MN SF3098
Dead/Failed Medium Risk

Prohibition from using artificial intelligence to dynamically set product prices

Minnesota's SF 3098 (1st engrossment) would add Minn. Stat. 325D.141 prohibiting surveillance-based price discrimination and wage discrimination, meaning individualized prices or wages set with an automated decision system from surveillance data about a consumer or worker, and would require published procedures for data accuracy and challenges. Introduced March 27, 2025; amended and re-referred to Commerce and Consumer Protection March 18, 2026 with no recommendation. It died when the 2026 session adjourned without passing.

HI SB3027
Dead/Failed Medium Risk

Relating To The Patients' Bill Of Rights.

Hawaii's Senate Bill 3027 (2026), which calls itself the Hawaii Patients' Bill of Rights of 2025, would have set prior authorization deadlines for health carriers (one business day urgent, three non-urgent) and required written disclosure of any automated decision support tool used in utilization review. A board-certified clinician would have had to independently approve any adverse action the tool materially contributed to. It was referred to committee January 30, 2026 and not enacted. It would have taken effect July 1, 2026.

HI HR182
Dead/Failed Medium Risk

Requesting The Hawaii Civil Rights Commission To Examine The Applicability Of Existing State Anti-discrimination Laws To Algorithmic And Automated Decision Systems.

Hawaii's House Resolution 182 (2026) asks the Hawaiʻi Civil Rights Commission to examine how existing state anti-discrimination laws apply to algorithmic and automated decision systems, including AI tools used in employment screening, tenant selection, credit and public benefits decisions: whether current law gives enough authority to investigate and remedy such discrimination, jurisdictional and evidentiary hurdles, whether guidance or rulemaking would help, a possible complaint pathway, and any legislation needed. Report due 20 days before the 2027 session. Adopted by the House April 9, 2026; a resolution of one chamber does not change the law.

US HB6356
In Committee Medium Risk

Artificial Intelligence Civil Rights Act of 2025

The AI Civil Rights Act would bar companies from developing or using AI-driven 'covered algorithms' in decisions about jobs, education, housing, utilities, health care, credit, insurance, criminal justice, elections, government benefits or public accommodations in a way that causes a disparate impact or otherwise discriminates based on a protected characteristic. Where harm is plausible, an independent auditor must evaluate the algorithm before deployment, and deployers must assess impacts every year, with summaries made public. The FTC would set rules for human alternatives and appeals. Enforced by the FTC, state attorneys general and private lawsuits. Introduced December 2, 2025.

MN HF3146
Dead/Failed Medium Risk

Acquisition and use of facial recognition technology by government entities prohibited.

Minnesota's HF 3146 would have barred state and local government entities, law enforcement agencies and officials from obtaining, retaining, accessing or using face surveillance systems or their information, or contracting with private entities to do so. Evidence from violations would have been inadmissible, and people could sue for damages of at least $1,000 or $100 per violation, whichever is greater, plus injunctions. Introduced April 7, 2025 and referred to Public Safety Finance and Policy and it never left committee.

MA H96
In Committee Medium Risk

To provide accountability in the use of biometric recognition technology and comprehensive enforcement

Massachusetts H96 would add G.L. Chapter 110I regulating biometric recognition technology: covered entities that collect or process biometric data owe duties of loyalty, care and confidentiality, may not sell it, and may not install biometric recognition equipment in places open to the public. Referred to the Advanced Information Technology, the Internet and Cybersecurity Committee February 27, 2025; on November 17, 2025 it accompanied new draft H4746, which was referred to House Ways and Means that day.

MD SB8
Enacted High Risk

Criminal Law - Identity Fraud - Artificial Intelligence and Deepfake Representations

Maryland's Chapter 445 of 2026 adds AI and deepfakes to the state's identity fraud law. Knowingly, willfully and with fraudulent intent using AI or a deepfake (a realistic image, video or audio of an actual, identifiable person) to impersonate, falsely depict or claim to represent someone to cause harm, or to create or distribute false records to cause harm, get personal identifying information or get something of value, is a felony: up to 5 years and $10,000 with one victim, 10 years and $15,000 with two or more. Victims can sue for an injunction and other relief. Effective October 1, 2026.

US HB2152
In Committee High Risk

AI PLAN Act Artificial Intelligence Practices, Logistics, Actions, and Necessities Act

The federal H.R. 2152 (AI PLAN Act), as reported, would require the Treasury, Homeland Security and Commerce Secretaries to report to Congress, within 180 days of enactment and annually, on defending against adversaries' use of AI in financial crimes, then give legislative recommendations and business best practices. Ordered reported as amended 52-0 May 13, 2026; reported and placed on the Union Calendar June 24, 2026; it has not passed the House.

MD SB827
Dead/Failed Medium Risk

Consumer Protection and Product Liability - Chatbots

Maryland's SB 827 (2026, first reader text, cross-filed with HB 1250) would have regulated operators and developers of generative AI chatbots made available to Maryland users: affirmative consent for training on input data, a ban on using chat logs for advertising, a 10-year cap on chat log retention, protections for users under 13, hourly not-human warnings, monthly safety testing, and product liability with possible strict liability. It had a Senate Finance hearing set for March 12, 2026 and died when the 2026 session ended.

FL H1555
Dead/Failed High Risk

Insurers' Liabilities and Responsibilities

Florida's HB 1555 (Cassel) would require insurers' claim denials to be reviewed, approved and signed off by a qualified human professional, bar AI, machine learning algorithms and automated systems from serving as the basis for denying a claim, and require surplus lines insurers to comply with the valued policy law. Filed February 28, 2025; indefinitely postponed May 3, 2025; it died in the Insurance & Banking Subcommittee June 16, 2025.

MD HB820
Enacted Medium Risk

Health Insurance - Utilization Review - Use of Artificial Intelligence

Maryland HB 820 (2025) governs health insurers, pharmacy benefit managers and private review agents that use AI, algorithms or other software tools in utilization review. Tools must base determinations on the enrollee's own medical or clinical history and circumstances rather than solely on group data, may not replace the provider's role or discriminate unfairly, must be open to audit by the Insurance Commissioner, described in written policies and reviewed quarterly, and may not deny, delay or modify health care services. Carriers' quarterly reports must say whether AI was used in each adverse decision. Effective October 1, 2025.

OH HB106
In Committee Medium Risk

Enact Alyssa's Law

Ohio's HB 106 (Alyssa's Law) would appropriate $25,000,000 for fiscal year 2026 (Ohio School Safety Center line item) for the Department of Public Safety to distribute pilot grants to school districts, community schools, STEM schools and chartered nonpublic schools to buy a panic alert system or contract for artificial intelligence firearm detection software. The Department would report on the pilot by December 1, 2027. Introduced February 18, 2025; referred to the House Finance Committee February 26, 2025.

WV HB3187
Enacted Medium Risk

Relating to the West Virginia Task Force on Artificial Intelligence

West Virginia's HB 3187 (2025) amends Code §5A-6-9, the 2024 law (HB 5690) that created the West Virginia Task Force on Artificial Intelligence. It adds identifying AI-related economic opportunities the state may support or promote to the task force's duties, replaces the one-time July 1, 2025 report with an annual electronic report by July 1 to the House, Senate and Governor, presented to the Joint Committee on Government and Finance, and sets the task force to terminate July 1, 2027. Membership and other duties are unchanged. Approved April 25, 2025 (Chapter 38); effective July 9, 2025.

NJ S4279
In Committee High Risk

Provides disparate impact based on automated decision system as cause of action for certain consumers.

New Jersey's S 4279 (as introduced) would bar a covered entity (lender, housing provider, screening company, creditor, servicer, insurer or their agents) from using an automated decision system in housing or credit decisions in a way that results in a disparate impact on a protected class, a violation of the Law Against Discrimination. It would require impact assessments at least every two years, notice and human review on request, and would let the Division on Civil Rights or Attorney General impose fines of at least $5,000 for certain violations. Introduced May 14, 2026 and referred to the Senate Commerce Committee; not passed.

State-by-State Regulation of Financial Services AI Regulation

Artificial intelligence regulation is advancing at the state level. This page lists the 322 published bills we track on Financial Services AI Regulation. State attorneys general, privacy regulators, and legislatures are developing a patchwork of laws that impose different obligations on businesses deploying AI systems related to this topic. Compliance teams and legal counsel must track both enacted laws and the pipeline of pending bills that could shift requirements at any time.

Obligations differ from bill to bill. Depending on the law, they can include consumer disclosure obligations, prohibition on specific high-risk uses, mandatory algorithmic impact assessments, bias audits, rights to explanation, and human override requirements. Penalties for non-compliance vary by state — use our Penalty Tracker to review enforcement provisions. For upcoming effective dates, see the Deadlines page.

To understand how Financial Services AI Regulation laws intersect with specific industries, browse our Healthcare, Employment, Insurance, and Financial Services industry trackers. Compare how different state laws approach this topic using our Bill Comparator.