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VA HB713: Fostering Access, Innovation, and Responsibility in Artificial Intelligence Act; established.

Dead/Failed Virginia · 2026 session

Last verified Oct 11, 2026 · official bill text

HB713 · where it stands

This bill did not become law (dead/failed) · last action Feb 18, 2026.

What do these statuses mean?
Introduced
Filed in the legislature; may be waiting for a committee hearing.
Passed a chamber
Approved by one or both chambers; awaiting further action.
Enacted
Signed into law, or became law without a signature or over a veto.
Effective date
The date the law says it takes effect. Once it has passed, the page shows "Effective" and the date. A court order can still block a law; if we know of one, the summary says so.
Dead / vetoed
Vetoed, failed, or the session ended without action.

In one paragraph

Virginia's HB 713 (2026 Regular Session) would have created the FAIR AI Act, requiring developers of base AI models to disclose listed items in their terms of service and limiting defenses in harm actions. As introduced it would have taken effect July 1, 2027. It failed: left in House Appropriations Committee on February 18, 2026.

Plain-English summary, written with AI assistance. The official text controls.

What it means for business

None: the bill died and never became law. It would have required base AI model developers to add disclosures to their terms of service.

Key provisions

  1. A developer of a base AI model would have had to disclose in its terms of service: model name, developer, location of incorporation, latest release date, training-data update date, supported languages, and a terms-of-service link
  2. Giving the disclosure would not have been a defense to liability for harm to a plaintiff
  3. Would have created the FAIR AI Enforcement Fund to support enforcement against AI misuse, bias and workforce disruption
  4. Would have limited defenses available to a defendant alleged to have developed, modified or deployed an AI system that caused harm
  5. Status: reported from Communications, Technology and Innovation with amendments and referred to Appropriations Feb. 9, 2026 (14-Y 7-N 1-A); Appropriations subcommittee recommended laying on the table Feb. 11; left in Appropriations Feb. 18, 2026

Latest legislative action

Feb 18, 2026. Left in Committee Appropriations

Sponsors (showing 5 of 7)

NameRole
Primary
Primary
Primary
D Primary
Primary

Roll call votes

Subcommittee recommends laying on the table Feb 11, 2026

5 yea0 nay2 otherPassed

Reported from Communications, Technology and Innovation with amendment(s) Feb 9, 2026

14 yea7 nay1 otherPassed

Subcommittee recommends reporting with amendment(s) Feb 9, 2026

6 yea2 nay2 otherPassed

Related and companion bills

Topics and industries

Related topics

AI TransparencyAI LiabilityFrontier or General-Purpose AI

Affected industries

Technology

This page is general information, not legal advice. Summaries are AI-assisted and may contain errors; read the statute for the controlling text and talk to a lawyer about your situation. Full disclaimer · Report an error

Related AI laws in Virginia

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SB365 Fostering Access, Innovation, and Responsibility in Artificial Intelligence Act; HB437 Insurance; standards of conduct for public adjusters, unauthorized practice of p HB1496 Law-enforcement agencies; surveillance technology reporting. HB1294 Use of artificial intelligence-based tools; covered artificial intelligence, dis HB1521 Digital innovation & infrastructure; establishing rights in digital property & t SB796 Artificial Intelligence Companion Chatbots and Minors Act; established, enforcem

Same topic in other states

New York A08595 Enacts the "New York artificial intelligence transparency for journalism act"; r Minnesota HF4532 Artificial intelligence safety and disclosure requirements established, and civi Illinois SB 3444 AI Model Safety Massachusetts S37 Promoting economic development with emerging artificial intelligence models and Arizona HB4098 Artificial intelligence business; attorney general Utah HJR26 Joint Resolution Amending Rules of Evidence to Address Machine-Generated Evidenc