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US HB5315: FAIR Act Fair Artificial Intelligence Realization Act of 2025

Introduced United States (Federal) · 2025–2026 session

Last verified Oct 8, 2026 · official bill text

HB5315 · where it stands

1 of 5 steps complete
  1. Introduced Complete
  2. Passed first chamber
  3. Passed both chambers
  4. Enacted
  5. Effective
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

The federal H.R. 5315 (FAIR Act, Fair Artificial Intelligence Realization Act of 2025) would require each federal agency to procure, after enactment, only large language models developed under four principles: truthfulness, historical accuracy and objectivity, neutrality that does not favor ideological dogmas such as diversity, equity, and inclusion, and no intentionally encoded partisan or ideological judgments unless prompted by or readily accessible to the user. Referred to the House Oversight Committee September 11, 2025; it has not passed either chamber.

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

What it means for business

None yet: the bill is pending. If enacted, large language model developers selling to federal agencies would need models built to the four principles to be eligible for purchase.

Key provisions

  1. Sec. 2(b): after enactment, the head of each agency shall procure only large language models developed in accordance with the listed principles
  2. Truthful responses to user prompts seeking factual information or analysis
  3. Prioritize historical accuracy, scientific inquiry and objectivity, and acknowledge uncertainty where reliable information is incomplete or contradictory
  4. Be neutral, nonpartisan tools that do not manipulate responses in favor of ideological dogmas such as diversity, equity, and inclusion
  5. Developers shall not intentionally encode partisan or ideological judgments into model output unless prompted by or readily accessible to the end user
  6. Large language model: a generative AI model trained on vast, diverse datasets that enable it to generate natural-language responses to user prompts; agency covers executive and military departments, independent establishments and wholly owned Government corporations, not GAO
  7. Introduced September 11, 2025 by Rep. Hageman and referred to the House Committee on Oversight and Government Reform; no effective date

Latest legislative action

Sep 11, 2025. Referred to the House Committee on Oversight and Government Reform.

Topics and industries

Affected industries

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