Appropriates $6.168 billion for AI and innovative technologies in border security, including inspection and surveillance upgrades. Restricts funds from untested autonomous surveillance towers. Defines "autonomous" as systems using AI and algorithms for real-time detection and operational adjustments.
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 approximately 3-4 subdomains, with focus on AI system security (2.2), malicious actors and surveillance (4.1), and competitive dynamics (6.4). Coverage is concentrated in security and deployment contexts related to border surveillance technology.
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
The document primarily governs Public Administration excluding National Security, with specific focus on border security operations. It also has minimal coverage of Scientific Research and Development Services through references to AI and innovative technologies.
Hard Law
Legislative Status Summary
This is a binding appropriations statute enacted by the United States Congress with mandatory language, specific funding allocations, and explicit restrictions on fund usage that carry legal force.
Proposer
Target
Enforcer
Monitor
Lifecycle stages covered by the documents, as defined in the OECD Framework for the Classification of AI Systems
No lifecycle stages identified.
Terms relating to technical scope that are mentioned or implicitly referenced in the document
No technical scope terms identified.
Document data from AGORA, CSET Emerging Technology Observatory.