HR 6304 AI for America Act 2025 (A national strategy for AI that promotes American leadership, removes regulatory barriers, and ensures data are free from security risks and ideological bias)

Directs the Director of the Office of Science and Technology Policy to submit a national AI action plan by 2027. Requires identification of regulatory barriers in specific sectors. Tasks NIST with reporting on AI security risks and bias prevention.

  • Authority: United States Congress
  • Parent authority: Federal government
  • Jurisdiction: United States
  • Collections: U.S. federal laws
  • Most recent activity: Proposed
  • Most recent activity date: 2025-11-25

Risk subdomain coverage

Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the risk subdomain are described.

  • Unfair discrimination and misrepresentation
  • AI system security vulnerabilities
  • Competitive dynamics
  • Governance failure
  • Lack of transparency or interpretability

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

The document has minimal to moderate coverage of approximately 5 subdomains, with focus on AI system security (2.2), bias/discrimination (1.1), competitive dynamics (6.4), governance effectiveness (6.5), and transparency (7.4). Coverage is concentrated primarily on security risks and bias prevention, with limited detail on specific harms or mitigation measures.

Sector coverage

Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the sector are explicitly described.

  • Public Administration (excl. National Security)

Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the sector are described.

  • Trade, Transportation & Utilities
  • Scientific Research & Development Services
  • Health Care & Social Assistance

All other sectors had no coverage in this document.

Sectors Summary

The document explicitly governs AI adoption in three named sectors (Healthcare, Scientific Research, and Transportation) through regulatory barrier identification. It also governs Public Administration, as it directs multiple federal agencies to develop AI strategies, partnerships, and oversight mechanisms. The focus is on removing barriers to AI adoption rather than imposing restrictions.

Legislative Status

Hard Law

Legislative Status Summary

This is a Congressional bill that, once enacted, would create binding legal obligations on federal agencies with mandatory requirements enforced through Congressional oversight and reporting mechanisms.

Actors

Proposer

  • Entity Types: AI_Governance_Actor
  • Summary: The document is a Congressional bill proposed by the legislative branch, as indicated by the standard legislative format and enacting clause.

Target

  • Entity Types: AI_Governance_Actor
  • Summary: The bill directs specific federal agencies to undertake actions including developing national AI action plans, identifying regulatory barriers, establishing public-private partnerships, and reporting on security risks and bias. These agencies are the primary targets of the legislation's requirements.

Enforcer

  • Entity Types: AI_Governance_Actor
  • Summary: These Congressional committees are designated as the recipients of mandatory reports and updates, giving them oversight authority to ensure compliance with the Act's requirements.

Monitor

  • Entity Types: AI_Governance_Actor
  • Summary: The Congressional committees serve as monitors through receipt of reports and biennial updates. OSTP Director is also tasked with ongoing monitoring through biennial updates of the Action Plan.

AI Lifecycle Stages

Lifecycle stages covered by the documents, as defined in the OECD Framework for the Classification of AI Systems

  • Plan and Design
  • Collect and Process Data
  • Build and Use Model
  • Verify and Validate
  • Deploy
  • Operate and Monitor

AI Lifecycle Summary

The document covers multiple AI lifecycle stages with particular emphasis on deployment (adoption of AI in sectors), data collection and processing (bias in data and training methods), and ongoing monitoring (detection and prevention measures, internal review protocols, third-party audits). The planning and design stage is addressed through infrastructure development and public-private partnerships.

Technical Scope

Terms relating to technical scope that are mentioned or implicitly referenced in the document

  • AI Systems

Technical Scope Summary

The document uses the broad term 'artificial intelligence' defined by reference to the National Artificial Intelligence Initiative Act of 2020, but does not specifically mention AI models, AI systems, frontier AI, general purpose AI, foundation models, or compute thresholds. The scope appears to be general and technology-neutral.

https://www.congress.gov/bill/119th-congress/house-bill/6304/text
https://agora.eto.tech/instrument/2833
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Document data from AGORA, CSET Emerging Technology Observatory.