Healthcare Enhancement And Learning Through Harnessing Artificial Intelligence Act”

Requires the Secretary of Health and Human Services to establish a grant program for research on generative AI in healthcare. Prioritizes projects improving practitioner efficiency, reducing disparities, and enhancing underserved population care. Defines eligible entities and key terms.

  • Authority: United States Congress
  • Parent authority: Federal government
  • Jurisdiction: United States
  • Collections: U.S. federal laws
  • Most recent activity: Proposed
  • Most recent activity date: 2025-08-26

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
  • Increased inequality and decline in employment

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

The document has minimal coverage of approximately 2-3 risk subdomains, with focus on addressing healthcare disparities and inequality (1.1, 1.3, 6.2). Coverage is limited as this is primarily a research funding mechanism rather than a comprehensive risk mitigation framework.

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
  • Educational Services
  • Public Administration (excl. National Security)

All other sectors had no coverage in this document.

Sectors Summary

This legislation primarily governs AI research and development in the Health Care and Social Assistance sector, with secondary coverage of Educational Services and Scientific Research sectors through the eligible entity definitions. The focus is specifically on generative AI applications to improve healthcare delivery, reduce administrative burdens, and address health disparities.

Legislative Status

Hard Law

Legislative Status Summary

This is federal legislation from the United States Congress establishing mandatory obligations for the Secretary of Health and Human Services to create and administer a grant program, using binding legal language throughout.

Actors

Proposer

  • Entity Types: AI_Governance_Actor
  • Entities: United States Congress; Senate and House of Representatives of the United States of America
  • Summary: The document is explicitly presented as legislation enacted by Congress, with formal legislative language identifying Congress as the proposing authority.

Target

  • Entity Types: AI_Developer, AI_Governance_Actor
  • Entities: institutions of higher education; organizations described in section 501(c)(3); agencies of Federal Government; agencies of State government; agencies of local government; agencies of Indian Tribes
  • Summary: The document defines 'eligible entity' to include educational institutions, nonprofit organizations, and various levels of government agencies that can receive grants to perform AI research in healthcare.

Enforcer

  • Entity Types: AI_Governance_Actor
  • Entities: Secretary of Health and Human Services; Department of Health and Human Services
  • Summary: The Secretary of Health and Human Services is explicitly designated to establish and administer the grant program, including setting priorities and making determinations about appropriate research.

Monitor

  • Entity Types: AI_Governance_Actor
  • Entities: Secretary of Health and Human Services
  • Summary: While not explicitly detailed, the Secretary of HHS would have implicit monitoring authority over the grant program administration and research outcomes as the administering authority.

AI Lifecycle Stages

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

  • Plan and Design
  • Build and Use Model
  • Verify and Validate
  • Deploy

AI Lifecycle Summary

The document covers multiple AI lifecycle stages with primary focus on research activities spanning Plan and Design, Build and Use Model, and Verify and Validate stages. It also references deployment through prioritization of adoption and deployment initiatives. The technical scope is specifically limited to generative artificial intelligence in healthcare contexts.

Technical Scope

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

  • Generative AI

Technical Scope Summary

The document explicitly defines and focuses on generative artificial intelligence, referencing the National AI Initiative Act definition for the broader term 'artificial intelligence'. No mention of frontier AI, foundation models, general purpose AI, or compute thresholds. The scope is specifically healthcare applications of generative AI.

https://www.congress.gov/bill/119th-congress/house-bill/5045/text
https://agora.eto.tech/instrument/2917
Explore in the Document View

Document data from AGORA, CSET Emerging Technology Observatory.