Requires the TSA Administrator to develop strategies to reduce patdowns and item divestiture during airport screenings using advanced technologies, including AI. Authorizes $20 million for research and deployment, mandates data collection, and allows publication of anonymized statistics.
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 privacy (2.1), security vulnerabilities (2.2), and human-computer interaction (5.1, 5.2). The primary emphasis is on aviation security screening technology deployment rather than comprehensive AI risk management. Coverage is concentrated in privacy concerns related to data collection and potential security implications of screening technologies.
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 the Trade, Transportation and Utilities sector, specifically aviation transportation and airport security screening operations. It also has implications for the Information sector through requirements for AI and technology deployment, and the Scientific Research and Development Services sector through mandated research and feasibility studies.
Hard Law
Legislative Status Summary
This is a binding legislative act from the United States Congress with mandatory requirements, specified enforcement mechanisms through the TSA Administrator, and authorized appropriations of $20 million.
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 addresses the Deploy and Operate and Monitor stages of the AI lifecycle, with some coverage of Plan and Design and Verify and Validate stages. It focuses on deploying advanced screening technologies including AI-based detection algorithms and systems, with requirements for testing, evaluation, and ongoing data collection to monitor performance.
Terms relating to technical scope that are mentioned or implicitly referenced in the document
Technical Scope Summary
The document explicitly mentions AI in the context of screening technologies, specifically referencing 'artificial intelligence' for collecting passenger screening statistics. It focuses on advanced screening technologies including detection algorithms, advanced imaging technology, and detection at range technology, but does not specify AI model types, compute thresholds, or distinguish between different categories of AI systems.
Document data from AGORA, CSET Emerging Technology Observatory.