Black Maternal Health Omnibus Act, Sec. 904 (Report on the Use of Technology in Maternity Care)

• 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
• Compromise of privacy
• AI system security vulnerabilities

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

The document has minimal coverage of 2-3 subdomains, with focus on unfair discrimination (1.1) and unequal performance across groups (1.3) in the context of AI and medical devices in maternal healthcare. The document mandates a study rather than implementing direct governance measures.

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.

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

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 maternity care. It mandates a study examining technology use, racial and ethnic biases, and best practices in this healthcare context.

Legislative Status

Hard Law

Legislative Status Summary

This is a binding legislative provision from the U.S. Congress that mandates the Secretary of Health and Human Services to commission a study, using mandatory language and establishing specific requirements and timelines.

Actors

Proposer

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

Target

• Entity Types: AI_Developer, AI_Deployer
• Summary: The document targets developers and deployers of innovative technology including artificial intelligence and patient monitoring devices used in maternal health care, though no specific entities are named.

Enforcer

• Entity Types: AI_Governance_Actor
• Entities: Secretary of Health and Human Services; National Academies of Sciences, Engineering, and Medicine
• Summary: The Secretary of Health and Human Services is mandated to enter into an agreement with the National Academies to conduct the study and report to Congress, establishing oversight and implementation authority.

Monitor

• Entity Types: AI_Governance_Actor
• Entities: National Academies of Sciences, Engineering, and Medicine; United States Congress
• Summary: The National Academies will conduct the study and monitor the use of technology in maternity care, with Congress receiving the report for oversight purposes.

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 the use of AI technology and patient monitoring devices in maternal healthcare settings and their ongoing impact on racial and ethnic biases.

Technical Scope

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

• Task-specific AI

Technical Scope Summary

The document explicitly mentions artificial intelligence as part of innovative technology used in maternal health care. It does not define or distinguish between different types of AI systems, models, or technical specifications such as compute thresholds or model architectures.