Healthcare Education in AI Literacy Act

Amends the Public Health Service Act to create a grant program, administered by the Health Resources and Services Administration, funding AI education for medical students, residents, and faculty. Requires grantees to report on AI educational integration and outcomes. Prioritizes underserved communities.

  • Authority: United States Congress
  • Parent authority: Federal government
  • Jurisdiction: United States
  • Collections: U.S. federal laws
  • Most recent activity: Proposed
  • Most recent activity date: 2025-11-18

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
  • Compromise of privacy
  • Lack of transparency or interpretability

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

This document has minimal coverage of AI risks, with brief mentions of only 3 risk subdomains: bias/discrimination (1.1), patient data privacy (2.1), and algorithm transparency (7.4). The document's primary focus is on creating educational programs rather than comprehensively addressing AI risks, though it requires education about ethical implications including bias, privacy, and transparency.

Sector coverage

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

  • Educational Services
  • Health Care & Social Assistance

All other sectors had no coverage in this document.

Sectors Summary

This document primarily governs two sectors: Health Care and Social Assistance (through requirements for AI literacy in medical practice) and Educational Services (through grant requirements for medical schools and residency programs). Both sectors receive substantial, detailed coverage throughout the legislation.

Legislative Status

Hard Law

Legislative Status Summary

This is a binding legislative bill enacted by the U.S. Congress that amends the Public Health Service Act, creating legally enforceable grant program requirements with mandatory reporting obligations and formal administrative enforcement through the Health Resources and Services Administration.

Actors

Proposer

  • Entity Types: AI_Governance_Actor
  • Summary: The document is a legislative bill enacted by Congress, as stated in the opening enactment clause. Congress is proposing this law to amend the Public Health Service Act.

Target

  • Entity Types: AI_User, Affected_Stakeholder
  • Summary: The grant program targets medical education institutions and their students, residents, and faculty who will be trained to use AI in medical practice. These entities are both users of AI systems and stakeholders affected by AI literacy requirements.

Enforcer

  • Entity Types: AI_Governance_Actor
  • Summary: The Secretary, through HRSA, has authority to establish and administer the grant program, make competitive grant awards, ensure compliance with requirements, and enforce funding limitations and prohibitions.

Monitor

  • Entity Types: AI_Governance_Actor
  • Summary: The Secretary receives mandatory annual reports from grantees documenting program implementation, expenditures, curricula development, and student outcomes. HRSA monitors compliance with reporting requirements and grant conditions.

AI Lifecycle Stages

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

  • Deploy
  • Operate and Monitor

AI Lifecycle Summary

The document primarily addresses the Deploy and Operate and Monitor stages of the AI lifecycle, focusing on education for deployment and ongoing use of AI systems in medical practice. It does not substantially cover earlier stages like planning, data collection, or model building.

Technical Scope

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

  • AI Systems
  • Predictive AI
  • Task-specific AI

Technical Scope Summary

The document explicitly defines and mentions AI systems (machine-based systems) and addresses task-specific AI applications in healthcare (diagnostics, treatment recommendations, predictive analytics). It does not mention frontier AI, general purpose AI, foundation models, generative AI, compute thresholds, or open-weight models.

https://www.congress.gov/bill/119th-congress/house-bill/6077
https://agora.eto.tech/instrument/2848
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Document data from AGORA, CSET Emerging Technology Observatory.