NY S07735: Relates to the use of automated decision tools by landlords for making housing decisions; sets conditions and rules for use of such tools.
Verified
Get emailed when this bill changes status, is amended, or advances.
Disclaimer: This page provides general informational summaries only and does not constitute legal advice. AI-generated content may contain errors. Always consult a qualified attorney for guidance specific to your situation.
Read full disclaimer →
This bill regulates landlords' use of automated decision tools for housing decisions, requiring transparency and impact analysis. The attorney general may investigate violations.
If you use automated decision tools for tenant screening in New York, you must conduct annual impact analyses and notify applicants or face legal action.
State
New York
Bill Number
S07735
Status
Introduced
Risk Level
High
Category
Comprehensive
Effective Date
Aug 1, 2025
Last Action
Apr 2, 2024
Last Verified
May 17, 2026
Data Updated
May 17, 2026
What do these statuses mean?▼
Introduced— Filed in the legislature; not yet heard in committee
In Committee— Assigned to and being reviewed by a legislative committee
Passed— Approved by one or both chambers; awaiting further action
Signed / Enacted— Signed into law by the governor; may or may not be in effect yet
Dead / Vetoed— Vetoed, failed to pass, or session expired without action
Unknown— Status data not yet available or awaiting classification
This bill establishes regulations for landlords using automated decision tools in housing decisions. It mandates annual impact analyses to assess potential biases and requires landlords to inform applicants about the use of such tools. Compliance is crucial as the attorney general may investigate violations.
Key Provisions
Landlords must conduct annual disparate impact analyses for automated decision tools.
Results of the analyses must be publicly available on the landlord's website.
Applicants must be notified about the use of automated decision tools and their criteria.
Landlords must disclose data sources and retention policies related to automated tools.
Applicants must be informed of reasons for denial if an automated tool is used.
Landlords must allow applicants to request alternative selection processes.
Latest Legislative Action
PRINT NUMBER 7735A
Bill Sponsors
Name
Role
District
Cordell CleareD
Sponsor
SD-030
Compliance Checklist
Conduct annual disparate impact analysis Who: Landlords using automated decision tools Deadline: Annually Penalty: Potential legal action by the attorney general
Make analysis results publicly available Who: Landlords Deadline: Prior to implementation of the tool Penalty: Potential legal action by the attorney general
Notify applicants about automated decision tools Who: Landlords Deadline: At least 24 hours before use Penalty: Potential legal action by the attorney general
The bill mandates that landlords using automated decision tools for housing decisions must conduct a disparate impact analysis at least annually. This analysis must evaluate the tool's effects on applicants based on protected characteristics such as race and gender. Landlords are required to publicly disclose the results of these analyses and provide detailed notifications to applicants about the automated decision-making process, including the criteria used and the data sources. Failure to comply with these provisions may lead to investigations by the attorney general if a preponderance of the evidence suggests a violation. The bill specifically defines 'automated decision tools' and outlines the necessary disclosures landlords must make to applicants, ensuring transparency in the decision-making process. Key definitions include 'disparate impact analysis' and 'housing decision,' which clarify the scope of the bill. While the bill implies legal consequences through the attorney general's enforcement powers, it does not explicitly state specific penalties for non-compliance. This legislation aligns with growing trends in other states to regulate the use of AI and automated systems in various sectors, particularly in housing and employment, reflecting a broader movement towards algorithmic accountability and fairness in decision-making processes.
We use cookies for analytics to understand how visitors use this site. We also use essential cookies for site functionality.
See our Privacy Policy for details.