Appropriates $1.076 billion for AI and machine learning to enhance non-intrusive inspection equipment and combat narcotics entry. Restricts funds for untested autonomous surveillance towers. Defines "autonomous" systems as AI-integrated tools identifying items of interest.
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 only implicit references to AI system security (2.2) through procurement restrictions on untested autonomous systems, and potential minimal coverage of lack of robustness (7.3) through testing requirements. The document is primarily a funding appropriation bill focused on border security technology procurement rather than AI risk governance.
Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the sector are explicitly described.
All other sectors had no coverage in this document.
Sectors Summary
The document primarily governs AI use in Public Administration (excluding National Security) and National Security sectors, specifically U.S. Customs and Border Protection operations. It addresses AI deployment for border security, surveillance, inspection, and vetting activities conducted by federal government agencies.
Hard Law
Legislative Status Summary
This is a binding Congressional appropriations act with mandatory funding allocations, explicit restrictions on fund usage, and legal enforceability through federal budget law mechanisms.
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 covers the Deploy stage through appropriations for procurement and deployment of AI-integrated border security systems. It also addresses Verify and Validate through testing and acceptance requirements for autonomous surveillance systems before deployment.
Terms relating to technical scope that are mentioned or implicitly referenced in the document
Technical Scope Summary
The document explicitly mentions artificial intelligence and machine learning in the context of border security systems. It defines 'autonomous' systems as AI-integrated tools but does not reference specific AI model types, compute thresholds, or distinctions between frontier, general-purpose, or task-specific AI.
Document data from AGORA, CSET Emerging Technology Observatory.