Establishes pilot projects for testing AI and other technology enhancements to improve contraband detection at U.S. land ports of entry. Requires assessments of technology effectiveness, integration, and cost. Involves private sector input and mandates reporting to Congress on outcomes and recommendations.
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 limited focus on AI system security (2.2) through testing requirements and potential implicit coverage of lack of robustness (7.3) through performance validation requirements. The document primarily addresses contraband detection technology deployment rather than AI-specific risks.
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 and National Security sectors through regulation of U.S. Customs and Border Protection operations. It also has minimal coverage of the Information sector through involvement of private sector AI technology providers.
Hard Law
Legislative Status Summary
This is a binding Congressional Act with mandatory language requiring the Secretary of Homeland Security to establish pilot projects, conduct assessments, and submit reports to Congress with specific timelines and requirements.
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 covers multiple AI lifecycle stages with primary focus on Verify and Validate, Deploy, and Operate and Monitor stages. It establishes pilot projects to test AI technology enhancements for contraband detection, requiring comprehensive performance assessment, deployment planning, and ongoing monitoring of effectiveness.
Terms relating to technical scope that are mentioned or implicitly referenced in the document
Technical Scope Summary
The document explicitly mentions AI and machine learning as technology categories to be tested. It focuses on AI systems for contraband detection at ports of entry but does not specifically mention frontier AI, general purpose AI, foundation models, or compute thresholds. The scope is task-specific AI for inspection and threat detection.
Document data from AGORA, CSET Emerging Technology Observatory.