Regulates employers' use of automated decision systems (ADS) in workplaces for employment-related decisions, requiring notice and human oversight. Prohibits retaliation against workers exercising rights. Enforces compliance through the Labor Commissioner and allows civil penalties for violations.
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 unfair discrimination (1.1), unequal performance (1.3), privacy compromise (2.1), loss of human agency (5.2), increased inequality (6.2), and lack of transparency (7.4). Coverage is concentrated in discrimination, privacy, human-computer interaction, and socioeconomic 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
This legislation governs the use of automated decision systems across all employment sectors in California. It applies universally to any employer using ADS for employment-related decisions, spanning private sector, public sector, and all industries where workers are employed.
Hard Law
Legislative Status Summary
This is a binding California state statute with mandatory requirements, civil penalties, and enforcement through the Labor Commissioner and public prosecutors.
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 requirements for pre-deployment notice, deployment restrictions, and ongoing monitoring of ADS use in employment decisions. It does not substantially address earlier stages like planning, data collection, or model building.
Terms relating to technical scope that are mentioned or implicitly referenced in the document
Technical Scope Summary
The document explicitly defines and covers automated decision systems (ADS) and artificial intelligence. It focuses on ADS derived from machine learning, statistical modeling, data analytics, or AI used for employment decisions. It does not mention frontier AI, general purpose AI, foundation models, generative AI, predictive AI, open-weight models, or compute thresholds.
Document data from AGORA, CSET Emerging Technology Observatory.