HR 4473 United States-Israel Bilateral Innovation for Research and Development in Health Act of 2025

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.

  • Authority: United States Congress
  • Parent authority: Federal government
  • Jurisdiction: United States
  • Collections: U.S. federal laws
  • Most recent activity: Proposed
  • Most recent activity date: 2025-07-16

Risk subdomain coverage

Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the risk subdomain are described.

  • 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 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.

Sector coverage

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

  • Information
  • Scientific Research & Development Services
  • Health Care & Social Assistance

Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the sector are described.

  • Agriculture, Mining, Construction & Manufacturing
  • Professional & Technical Services

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.

Legislative Status

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.

Actors

Proposer

  • Entity Types: AI_Governance_Actor
  • Summary: The bill was introduced in the House of Representatives by three named members of Congress and has been referred to the Committee on Energy and Commerce for consideration.

Target

  • Entity Types: AI_Developer, AI_Deployer, AI_Infrastructure_Provider
  • Summary: The program is designed to facilitate joint research and development projects and commercialization efforts between U.S. and Israeli entities working on healthcare technologies, including AI-driven diagnostics and digital health solutions.

Enforcer

  • Entity Types: AI_Governance_Actor
  • Summary: The Secretary of HHS is mandated to establish and oversee the program through a cooperative agreement, coordinate with the Secretary of Commerce, and ensure compliance with reporting requirements. The BIRD Foundation administers the program with joint governance from U.S. and Israeli health officials.

Monitor

  • Entity Types: AI_Governance_Actor
  • Summary: The bill establishes comprehensive monitoring and evaluation through mandatory annual reports to Congress detailing program progress, impacts, and recommendations, plus triennial comprehensive reviews of program success.

AI Lifecycle Stages

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

  • Plan and Design
  • Collect and Process Data
  • Build and Use Model
  • Verify and Validate
  • Deploy
  • Operate and Monitor

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.

Technical Scope

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

  • AI Models
  • AI Systems
  • Task-specific AI

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.

https://www.congress.gov/bill/119th-congress/house-bill/4473/text/ih?format=xml
https://agora.eto.tech/instrument/2620
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Document data from AGORA, CSET Emerging Technology Observatory.