To direct the Director of the National Institutes of Health to establish a grant program to facilitate research regarding the use of generative artificial intelligence in health care, and for other purposes.

Directs the NIH Director to establish a grant program promoting research on generative AI in healthcare. Prioritizes projects enhancing AI adoption, workforce development, reducing disparities, and improving underserved care. Supports AI applications in documentation, insurance, and customer service efficiency.

  • Authority: United States Congress
  • Parent authority: Federal government
  • Jurisdiction: United States
  • Collections: U.S. federal laws
  • Most recent activity: Defunct
  • Most recent activity date: 2025-01-03

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
  • Unequal performance across groups

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

The document has minimal coverage of AI risk domains, with only implicit references to discrimination/disparities (1.1, 1.3) through its priority criteria for reducing health disparities. The document is primarily focused on enabling research rather than addressing specific AI risks, resulting in very limited risk domain coverage overall.

Sector coverage

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

  • Health Care & Social Assistance

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

  • Finance & Insurance
  • Scientific Research & Development Services
  • Public Administration (excl. National Security)

All other sectors had no coverage in this document.

Sectors Summary

This legislation exclusively governs the Health Care and Social Assistance sector by establishing a grant program for research on generative AI applications in healthcare settings, including clinical documentation, insurance claims processing, and patient care delivery.

Legislative Status

Hard Law

Legislative Status Summary

This is a proposed federal statute introduced in the U.S. House of Representatives that would create binding legal obligations on the NIH Director to establish a grant program. It uses mandatory language ('shall establish') and would have the force of law if enacted.

Actors

Proposer

  • Entity Types: AI_Governance_Actor
  • Entities: Mr. Lieu (U.S. House of Representatives member); United States Congress
  • Summary: The bill was introduced by Mr. Lieu in the House of Representatives and referred to the Committee on Energy and Commerce, indicating Congress as the proposing body.

Target

  • Entity Types: AI_Developer, AI_Deployer
  • Entities: Institutions of higher education; Nonprofit organizations; Federal Government agencies; State agencies; Local government units; Indian Tribes
  • Summary: The grant program targets eligible entities that will conduct research on generative AI in healthcare, including educational institutions, nonprofits, and government agencies at various levels.

Enforcer

  • Entity Types: AI_Governance_Actor
  • Entities: Director of the National Institutes of Health; National Institutes of Health
  • Summary: The NIH Director is mandated to establish and administer the grant program, including setting priorities and awarding grants.

Monitor

  • Entity Types: AI_Governance_Actor
  • Entities: Director of the National Institutes of Health; National Institutes of Health
  • Summary: The NIH Director would be responsible for overseeing the grant program and ensuring compliance with priority criteria, though specific monitoring mechanisms are not detailed in the bill.

AI Lifecycle Stages

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

  • Build and Use Model
  • Deploy
  • Operate and Monitor

AI Lifecycle Summary

The document primarily covers the Build and Use Model stage by funding research on generative AI applications in healthcare. It implicitly addresses Deploy and Operate and Monitor stages through its focus on adoption, deployment, and improving healthcare delivery systems.

Technical Scope

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

  • AI Models
  • Generative AI

Technical Scope Summary

The document explicitly defines and focuses on generative artificial intelligence, which it defines as AI that produces text, media, computer code, or other content in response to prompts. It also references the broader definition of artificial intelligence from the National AI Initiative Act.

https://www.congress.gov/bill/118th-congress/house-bill/7381
https://agora.eto.tech/instrument/410
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Document data from AGORA, CSET Emerging Technology Observatory.