Define “artificial intelligence” as an engineered or machine-based system influencing environments, and regulate high-risk automated decision systems impacting access to essential services. Mandate inventory of these systems by September 2024, assessing benefits, alternatives, data use, and mitigation measures, with annual reports until 2029.
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 minimal coverage of risk domains, primarily addressing governance failure (6.5) through establishment of oversight mechanisms, and touching on discrimination (1.1, 1.3) and transparency (7.4) through requirements for high-risk automated decision systems. Coverage is concentrated in governance and fairness domains with scores of 2-3.
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 Public Administration (state agencies using automated decision systems), with additional coverage of Information (social media platforms), Education (California Community Colleges), Health Care, Finance, Housing (through high-risk automated decision system definitions), and Trade, Transportation and Utilities (warehouse distribution centers).
Hard Law
Legislative Status Summary
This is a binding California state statute enacted by the legislature with mandatory obligations, specific deadlines, and enforcement through state agencies.
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 through requirements for inventory, reporting, and ongoing assessment of high-risk automated decision systems already in use or proposed for use by state agencies. It also touches on Verify and Validate through requirements for risk assessments and performance metrics.
Terms relating to technical scope that are mentioned or implicitly referenced in the document
Technical Scope Summary
The document explicitly defines and covers 'artificial intelligence' and 'automated decision systems' with detailed definitions. It addresses high-risk automated decision systems specifically but 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.