Prohibits Federal agencies from procuring large language models unless they meet requirements for truthfulness, accuracy, objectivity, neutrality, acknowledgment of uncertainty, and limits on partisan or ideological judgments.
Prohibits Federal agencies from procuring large language models unless they are developed according to specified principles for trustworthy AI.
Requires covered models to provide truthful responses to factual prompts; prioritize historical accuracy, scientific inquiry, and objectivity; and acknowledge uncertainty when reliable information is incomplete or contradictory.
Requires models to remain neutral and nonpartisan and prohibits developers from intentionally encoding partisan or ideological judgments unless prompted by or readily accessible to the user.
Defines covered agencies and large language models for purposes of the Act.
This document has not been enacted or otherwise finalized and is subject to change. This summary is based on a copy of the document collected 2026-02-25 - refer to the official source for the most current version.
Key facts
🏛️ This document has been proposed by the United States Congress, but is not yet enacted.
For authoritative text and metadata, visit the official source.
🎯 This document primarily applies to the government, rather than the private sector.
📜 This document's name is Fair Artificial Intelligence Realization Act of 2025.
AGORA also tracks this document under the name FAIR Act.
Themes AI risks, applications, governance strategies, and other themes addressed in AGORA documents.
This document has not been enacted or otherwise finalized and is subject to change. This summary is based on a copy of the document collected 2026-02-25 - refer to the official source for the most current version.
This is an unofficial copy. The document has been
archived and reformatted in plaintext for AGORA. Footnotes, tables, and
similar material may be omitted. For the official text, visit the original source.
This text may be out of date. According to the latest data in AGORA,
this document has been proposed, but is not yet enacted or otherwise
finalized. This text was collected 2026-02-25 and
may have been revised in the meantime. Visit the official source for authoritative text.
A BILL
To prohibit the Federal procurement of large language models not developed in accordance with unbiased AI principles, and for other purposes.
Be it enacted by the Senate and House of Representatives of the United States of America in Congress assembled,
SECTION 1. Short title.
This Act may be cited as the “Fair Artificial Intelligence Realization Act of 2025” or the “FAIR Act”.
Prohibits Federal procurement of large language models that are not developed in accordance with unbiased AI principles.
Prohibits Federal procurement of large language models that are not developed in accordance with unbiased AI principles.
SEC. 2. Prohibition on Federal procurement of certain large language models.
(a) Policy of the United States.—It is the policy of the United States to promote the innovation and use of trustworthy artificial intelligence.
(b) In general.—To advance the policy established under subsection (a), the head of each agency shall, procure after the date of the enactment of this Act only those large language models developed in accordance with the following principles:
(1) Large language models shall be truthful in responding to user prompts seeking factual information or analysis.
(2) Large language models shall prioritize historical accuracy, scientific inquiry, and objectivity, and shall acknowledge uncertainty where reliable information is incomplete or contradictory.
(3) Large language models shall be neutral, nonpartisan tools that do not manipulate responses in favor of ideological dogmas such as diversity, equity, and inclusion.
(4) Developers of large language models shall not intentionally encode partisan or ideological judgments into a large language model output unless those judgments are prompted by or otherwise readily accessible to the end user.
Limits Federal procurement to large language models that provide truthful and accurate responses, acknowledge uncertainty, remain neutral and nonpartisan, and avoid intentionally encoded partisan or ideological judgments.
Limits Federal procurement to large language models that provide truthful and accurate responses, acknowledge uncertainty, remain neutral and nonpartisan, and avoid intentionally encoded partisan or ideological judgments.
(c) Definitions.—In this Act:
(1) AGENCY.—The term “agency”—
(A) means—
(i) an executive department (as such term is defined in section 101 of title 5, United States Code);
(ii) a military department (as such term is defined in section 102 of title 5, United States Code);
(iii) an independent establishment (as such term is defined in section 104 of title 5, United States Code); and
(iv) a wholly owned Government corporation (as such term is defined in section 9101 of title 31, United States Code); and
(B) does not include the Government Accountability Office.
(2) LARGE LANGUAGE MODEL.—The term “large language model” means a generative AI model trained on vast, diverse datasets that enable the model to generate natural-language responses to user prompts.
Defines covered Federal agencies and defines a large language model as a generative AI model trained on vast, diverse datasets to generate natural-language responses to user prompts.
Defines covered Federal agencies and defines a large language model as a generative AI model trained on vast, diverse datasets to generate natural-language responses to user prompts.