Requires employers to disclose AI-driven workplace surveillance details and prohibits using AI to predict non-work behavior. Establishes a Privacy and Technology Division for oversight. Enables private rights of action and whistleblower protections. Mandates coordination with federal and state agencies.
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 6-8 subdomains, with strong focus on privacy compromise (2.1), unequal performance across groups (1.3), overreliance and unsafe use (5.1), loss of human agency and autonomy (5.2), increased inequality (6.2), and lack of transparency (7.4). Coverage is concentrated in privacy, human-computer interaction, and socioeconomic domains related to workplace surveillance.
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 legislation applies broadly across all economic sectors where employers conduct workplace surveillance on 11 or more employees. The Act explicitly covers private sector employers, government agencies at all levels, and federal offices, making it a cross-sectoral workplace privacy regulation rather than sector-specific governance.
Hard Law
Legislative Status Summary
This is a binding legislative bill proposed to the U.S. Congress that, if enacted, would establish mandatory legal obligations with enforcement mechanisms including civil penalties, private rights of action, and government enforcement authority.
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 AI systems used for workplace surveillance. It addresses deployment requirements (disclosure obligations before and during deployment) and operational monitoring (ongoing surveillance practices, data collection, and employment decisions). There is minimal coverage of earlier lifecycle stages.
Terms relating to technical scope that are mentioned or implicitly referenced in the document
Technical Scope Summary
The document explicitly mentions automated decision systems and workplace surveillance technologies but does not specifically reference AI models, AI systems, frontier AI, general purpose AI, foundation models, generative AI, or compute thresholds. The focus is on automated decision-making technologies used in workplace contexts rather than specific AI model categories.
Document data from AGORA, CSET Emerging Technology Observatory.