FAIR Act
- Bill Number
- H.R. 5315
- Origin Chamber
- House
- Congress
- 119th Congress, Session 1
- Policy Area
- Government Operations and Politics
- Status
- Introduced
- Latest Action
- 2025-09-11: Referred to the House Committee on Oversight and Government Reform.
- Last Updated
- 2026-06-11T23:26:38Z
AI-Generated Summary
Purpose
The Fair Artificial Intelligence Realization Act of 2025 (FAIR Act), H.R. 5315, aims to ensure that artificial intelligence (AI) used by the federal government is trustworthy and unbiased. It establishes a policy to promote innovation in AI while prohibiting the procurement of certain large language models (LLMs) that do not meet specific neutrality and truthfulness standards.
Key Provisions
- U.S. Policy on AI: The Act declares it the policy of the United States to encourage the development and use of trustworthy AI systems.
- Procurement Restrictions: Starting from the date of enactment, the head of each federal agency must only purchase LLMs that adhere to four core principles:
- Truthfulness: LLMs must provide accurate responses to user queries seeking facts or analysis.
- Objectivity and Accuracy: LLMs must emphasize historical accuracy, scientific methods, and neutrality, and must note uncertainties when information is incomplete or conflicting.
- Neutrality: LLMs must function as impartial tools, avoiding any bias toward ideological views, such as those related to diversity, equity, and inclusion (DEI).
- Avoiding Hidden Biases: Developers cannot embed partisan or ideological preferences into LLM outputs unless explicitly prompted or made accessible by the user.
- Definitions:
- Agency: Includes executive departments, military departments, independent establishments, and wholly owned government corporations (as defined in U.S. Code), but excludes the Government Accountability Office (GAO).
- Large Language Model (LLM): A type of generative AI trained on large, varied datasets to produce human-like text responses to user inputs.
Significant Changes to Existing Law
This legislation introduces new federal procurement rules specifically targeting LLMs, which were not previously regulated in this manner under U.S. law. It adds mandatory standards for AI development to ensure bias-free outputs, effectively barring non-compliant models from government contracts without amending broader procurement statutes like the Federal Acquisition Regulation.
Potential Impacts
- On Government Agencies: Agencies will face restrictions in acquiring AI tools, potentially increasing costs or limiting options for AI integration in operations like data analysis or public services. Compliance checks may require additional oversight and vendor audits.
- On Citizens: Could lead to more reliable and neutral AI interactions with government services (e.g., chatbots for benefits or information), reducing risks of biased or misleading outputs that affect public trust.
- On International Relations: May influence U.S. partnerships with foreign AI developers, as non-U.S. models must comply to secure federal contracts, potentially straining relations with countries whose AI prioritizes different ethical standards.
Main Stakeholders Affected
- Federal Agencies: Directly responsible for implementing procurement rules, including departments like Defense, Justice, and Health and Human Services.
- AI Developers and Vendors: Companies creating LLMs (e.g., tech firms like OpenAI or Google) must align products with the Act's principles to bid on government contracts.
- Government Contractors: Firms providing AI services to the federal government may need to certify compliance, affecting their business models.
- U.S. Taxpayers and Innovators: Indirectly impacted through procurement costs and the promotion of domestic or compliant AI innovation.
Notable Legal, Constitutional, or Political Implications
- Legal Implications: Establishes enforceable standards for AI procurement, potentially leading to lawsuits over compliance interpretations (e.g., what constitutes "ideological dogma"). Agencies may need new guidelines to verify developer adherence, raising questions about enforcement mechanisms.
- Constitutional Implications: Could intersect with First Amendment concerns if restrictions on "partisan judgments" are seen as limiting free expression in AI design, though it applies only to government procurement, not private development.
- Political Implications: Highlights debates over AI bias and ideology, particularly the explicit rejection of DEI influences, which may polarize discussions on technology policy without altering broader civil rights laws.
This summary was generated by AI and may contain inaccuracies. Refer to the official source document for the authoritative text.
Sponsor
Rep. Hageman, Harriet M. [R-WY-At Large]
Cosponsors (1)
Recent Actions
- 2025-09-11: Referred to the House Committee on Oversight and Government Reform.
- 2025-09-11: Introduced in House
- 2025-09-11: Introduced in House
Bill Versions
- Fair Artificial Intelligence Realization Act of 2025 — issued 2025-09-11 — PDF (3 pages)