Regulates law enforcement use of facial recognition by requiring court orders, protecting civil rights, and mandating transparency. Prohibits reliance on facial recognition alone for arrests, requires accuracy and bias testing, and establishes reporting, auditing, and public notice requirements.
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 good coverage of approximately 8-10 subdomains, with strong focus on unfair discrimination (1.1, 1.3), privacy compromise (2.1), security vulnerabilities (2.2), disinformation and surveillance (4.1), fraud and manipulation (4.3), overreliance and unsafe use (5.1), and lack of robustness (7.3). Coverage is concentrated in discrimination, privacy, malicious use prevention, and AI system reliability domains.
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 Public Administration excluding National Security sector through extensive regulation of law enforcement use of facial recognition. It also has minimal coverage of Information sector (through DMV database requirements) and National Security sector (through limited applicability to federal law enforcement).
Hard Law
Legislative Status Summary
This is a binding federal statute introduced to the U.S. House of Representatives with mandatory language throughout, explicit enforcement mechanisms including suppression of evidence, civil actions with damages, administrative discipline, and funding penalties for non-compliance.
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 focuses on the Deploy and Operate and Monitor stages of the AI lifecycle, with significant coverage of Verify and Validate through mandatory testing requirements. It does not substantially address the earlier stages of Plan and Design, Collect and Process Data, or Build and Use Model.
Terms relating to technical scope that are mentioned or implicitly referenced in the document
No technical scope terms identified.
Technical Scope Summary
The document explicitly focuses on facial recognition systems and technology. It does not mention AI models, AI systems, frontier AI, general purpose AI, task-specific AI, foundation models, generative AI, predictive AI, open-weight models, or compute thresholds. The scope is narrowly defined around facial recognition technology for law enforcement use.
Document data from AGORA, CSET Emerging Technology Observatory.