Strategy for Public Health Preparedness and Response to Artificial Intelligence Threats

• 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.

• Cyberattacks, weapon development or use
• Governance failure
• AI possessing dangerous capabilities

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

• AI system security vulnerabilities
• Lack of capability or robustness

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 malicious actors using AI for biological weapons development (4.2), AI system security vulnerabilities (2.2), governance frameworks for AI risks (6.5), and AI safety failures (7.2, 7.3). Coverage is concentrated in security, misuse prevention, and governance domains related to public health threats.

Sector coverage

All other sectors had no coverage in this document.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Entities: United States Congress; Mr. Budd; Mr. Markey; Senate; House of Representatives
• Summary: This is a Congressional bill introduced by Senators Budd and Markey in the United States Senate, which was read twice and referred to the Committee on Health, Education, Labor, and Pensions. The bill requires action by the Secretary of Health and Human Services but is proposed by Congress.

Target

• Entity Types: AI_Governance_Actor
• Entities: Secretary of Health and Human Services; Department of Health and Human Services
• Summary: The bill directly targets the Secretary of Health and Human Services, requiring the Secretary to develop a strategy for public health preparedness and response to AI threats. The Secretary is assigned specific duties, functions, and preparedness goals.

Enforcer

• Entity Types: AI_Governance_Actor
• Entities: Secretary of Health and Human Services; United States Congress
• Summary: The Secretary of Health and Human Services is responsible for implementing and executing the strategy, while Congress maintains oversight through reporting requirements. The bill mandates the Secretary to prepare and submit the strategy to congressional committees.

Monitor

• Entity Types: AI_Governance_Actor
• Entities: Committee on Health, Education, Labor, and Pensions of the Senate; Committee on Energy and Commerce of the House of Representatives; United States Congress
• Summary: Congressional committees are designated to receive and review the strategy, with the Secretary required to make the strategy available to specific committees and other committees of jurisdiction. The strategy must include metrics to measure success in meeting preparedness goals.

AI Lifecycle Stages

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

• Plan and Design
• Operate and Monitor

AI Lifecycle Summary

This document focuses on strategic planning and preparedness for AI-related public health threats rather than the technical development lifecycle of AI systems. It primarily addresses planning frameworks, risk identification, and response strategies to AI misuse threats. The document does not cover technical AI development stages such as data collection, model building, or deployment of AI systems themselves.

Technical Scope

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

No technical scope terms identified.

Technical Scope Summary

The document references 'artificial intelligence' broadly as a threat vector for misuse but does not explicitly mention specific AI technical categories such as AI models, AI systems, frontier AI, foundation models, or compute thresholds. The focus is on AI as a source of risk rather than technical AI development specifications.