Requires the National Academies to study AI's role in maternal health care, examine biases, and devise best practices for bias reduction, privacy, and security. Mandates reporting to Congress within 24 months of enactment.
Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the risk subdomain are explicitly described.
Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the risk subdomain are described.
All other risk subdomains had no coverage in this document.
Risk Coverage Summary
The document has good coverage of approximately 4-5 subdomains, with strong focus on unfair discrimination (1.1, 1.3), privacy compromise (2.1), security vulnerabilities (2.2), and lack of transparency (7.4). Coverage is concentrated in discrimination/bias, privacy/security, and AI system limitations domains.
Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the sector are explicitly described.
Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the sector are described.
All other sectors had no coverage in this document.
Sectors Summary
The document primarily governs the Health Care and Social Assistance sector, specifically focusing on maternal health care services and the use of AI and patient monitoring devices in this context. It also has implications for the Scientific Research and Development Services sector through the mandated study by the National Academies.
Hard Law
Legislative Status Summary
This is a binding legislative act from the United States Congress that mandates specific actions by the Secretary of Health and Human Services with clear timelines and requirements.
Proposer
Target
Enforcer
Monitor
Lifecycle stages covered by the documents, as defined in the OECD Framework for the Classification of AI Systems
AI Lifecycle Summary
The document primarily addresses the Deploy and Operate and Monitor stages of the AI lifecycle, focusing on the use of AI technology in maternal health care settings and the ongoing monitoring of its effects on racial and ethnic biases. It also implicitly covers aspects of Verify and Validate through its mandate to study best practices.
Terms relating to technical scope that are mentioned or implicitly referenced in the document
Technical Scope Summary
The document explicitly mentions AI as part of innovative technology in maternal health care and addresses patient monitoring devices. It does not specify particular AI model types, compute thresholds, or distinguish between different categories of AI systems.
Document data from AGORA, CSET Emerging Technology Observatory.