Requires the Secretary of Homeland Security to plan for deploying advanced border technologies. Authorizes CBP Innovation Teams to research emerging technologies, including AI, ensuring compliance with privacy and civil rights policies. Mandates annual reporting on technology deployment and effectiveness.
Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the risk subdomain are explicitly described.
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 to good coverage of approximately 5-6 subdomains, with primary focus on AI system security (2.2), privacy compromise (2.1), governance failure (6.5), and lack of robustness (7.3). Coverage is concentrated in privacy/security domains and AI system safety, with explicit requirements for civil rights, civil liberties, and responsible AI use.
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
This document primarily governs the Public Administration sector (specifically border security and customs operations) and National Security sector (border protection and homeland security). It does not regulate private sector activities but rather governs how government agencies deploy AI and emerging technologies for border security missions.
Hard Law
Legislative Status Summary
This is a binding legislative act from the United States Congress with mandatory requirements, specified enforcement through reporting obligations to Congressional committees, and use of mandatory language throughout.
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 Plan and Design, Build and Use Model, Deploy, and Operate and Monitor stages. It addresses planning for technology deployment, research and development of AI systems, deployment procedures, and ongoing monitoring requirements.
Terms relating to technical scope that are mentioned or implicitly referenced in the document
Technical Scope Summary
The document explicitly mentions AI systems and artificial intelligence, with specific references to responsible use of AI and AI policy compliance. It does not mention specific AI model types (frontier, general purpose, task-specific, foundation, generative, predictive) or compute thresholds. The focus is on emerging technologies broadly, with AI as one category among others.
Document data from AGORA, CSET Emerging Technology Observatory.