Health Equity and Accountability Act of 2024, Sec 1013 ("Task Force on Preventing Bias in AI and Algorithms")

• 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

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

• Unfair discrimination and misrepresentation
• Unequal performance across groups
• Governance failure

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

The document has good coverage of approximately 3-4 subdomains, with strong focus on unfair discrimination (1.1), unequal performance across groups (1.3), and governance failure (6.5). The document specifically addresses AI bias risks in healthcare delivery and establishes oversight mechanisms to examine and mitigate discriminatory impacts.

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.

• Public Administration (excl. National Security)

All other sectors had no coverage in this document.

Sectors Summary

The document exclusively governs the Health Care and Social Assistance sector, with comprehensive coverage of AI and algorithmic bias prevention in healthcare service delivery. The Task Force is specifically focused on examining and providing guidance for AI use in healthcare access, quality, and outcomes.

Legislative Status

Hard Law

Legislative Status Summary

This is a binding legislative instrument enacted by the United States Congress with mandatory language establishing a Task Force with specific duties, timelines, and reporting requirements to Congress.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Entities: United States Congress
• Summary: The document is a section of the Health Equity and Accountability Act of 2024, which is enacted by the United States Congress as indicated by the legislative format and authority.

Target

• Entity Types: AI_Developer, AI_Deployer
• Entities: Healthcare service delivery organizations; Health care system entities utilizing artificial intelligence and algorithms
• Summary: The document targets entities that develop and integrate AI and algorithmic technologies within healthcare service delivery, as well as those utilizing AI in the healthcare system.

Enforcer

• Entity Types: AI_Governance_Actor
• Entities: Secretary of Health and Human Services; Task Force on Preventing AI and Algorithmic Bias in Health Care; United States Congress
• Summary: The Secretary of Health and Human Services is mandated to establish the Task Force, which will examine AI use and provide guidance. Congress receives the report and recommendations, providing oversight.

Monitor

• Entity Types: AI_Governance_Actor
• Entities: Task Force on Preventing AI and Algorithmic Bias in Health Care; Department of Health and Human Services; United States Congress
• Summary: The Task Force is specifically established to examine AI and algorithms in healthcare, identify risks, and report findings. The Department of Health and Human Services publishes the report, and Congress receives recommendations for oversight.

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
• Operate and Monitor

AI Lifecycle Summary

The document addresses multiple AI lifecycle stages with primary focus on deployment and operation/monitoring of AI systems in healthcare. It also covers planning and design through guidance development, and verification/validation through risk examination requirements.

Technical Scope

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

• AI Systems

Technical Scope Summary

The document explicitly mentions both AI and algorithms in healthcare contexts. It does not specifically reference frontier AI, general purpose AI, foundation models, generative AI, predictive AI, open-weight models, or compute thresholds. The focus is on AI and algorithmic technologies broadly applied in healthcare delivery.