Establishes the BIRD Health Program to foster U.S.-Israel collaboration on healthcare technologies, including AI-driven diagnostics. Directs the Secretary of Health and Human Services to coordinate efforts, allocate funding, and support innovation in AI health applications.
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 minimal coverage of AI risk domains, with brief mentions only in privacy (2.1) and cybersecurity (2.2). This is primarily a funding and collaboration authorization bill focused on establishing partnerships rather than addressing specific AI risks or harms. The document does not substantively address risk mitigation, safety failures, or other risk domains from the taxonomy.
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
This document primarily governs the Health Care and Social Assistance sector, with strong secondary coverage of Scientific Research and Development Services. It also addresses the Information sector through digital health and telemedicine provisions, and has minimal coverage of Professional and Technical Services related to healthcare technology consulting and management.
Hard Law
Legislative Status Summary
This is a Congressional bill that, once enacted, would create binding legal obligations on the Secretary of Health and Human Services. It uses mandatory language throughout ('shall') and establishes specific requirements for program establishment, funding authorization, and reporting to Congress.
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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 covers the full AI lifecycle with emphasis on research and development, commercialization, and deployment. It addresses planning through project selection, data collection through health data sharing frameworks, model development through joint R&D programs, validation through clinical trials, deployment through commercialization support, and ongoing monitoring through annual reporting and program evaluation.
Terms relating to technical scope that are mentioned or implicitly referenced in the document
Technical Scope Summary
The document explicitly mentions AI systems and models in healthcare applications, with specific reference to 'artificial intelligence for healthcare applications' and 'diagnostics driven by artificial intelligence'. It focuses on task-specific healthcare AI rather than general-purpose or frontier AI. No compute thresholds or open-source model provisions are included.
Document data from AGORA, CSET Emerging Technology Observatory.