Governs the use of artificial intelligence for making consequential decisions that affect others (on education, healthcare, etc.), including by banning tools that exhibit algorithmic discrimination and requiring impact assessments, disclosures, monitoring, and human alternatives.
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, 1.3), privacy concerns (2.1), governance structures (6.4, 6.5), and AI system limitations (7.3, 7.4). Coverage is concentrated in discrimination prevention, transparency, and governance 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 governs AI use across 11 of 14 economic sectors, with particularly detailed coverage of employment, education, healthcare, financial services, housing, criminal justice, and public administration. The regulation applies broadly to any entity deploying automated decision tools for consequential decisions affecting individuals in these sectors.
Hard Law
Legislative Status Summary
This is a binding California statute with mandatory obligations, enforcement mechanisms including civil actions and administrative fines, and specific 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 covers multiple lifecycle stages with primary focus on deployment and operational monitoring. It addresses design considerations through impact assessment requirements, validation and verification through evaluation requirements, and extensively covers deployment notification and ongoing monitoring obligations.
Terms relating to technical scope that are mentioned or implicitly referenced in the document
Technical Scope Summary
The document explicitly defines and regulates 'artificial intelligence' and 'automated decision tools' but does not specifically mention frontier AI, general purpose AI, foundation models, generative AI, predictive AI, open-weight models, or compute thresholds. The focus is on AI systems used for consequential decision-making regardless of their technical architecture.
Document data from AGORA, CSET Emerging Technology Observatory.