Directs the Department of Technology to develop and adopt ADS procurement regulations, emphasizing risk assessments, equity analysis, and data minimization. Prohibits state agencies from procuring ADS without these regulations effective January 1, 2027. Requires ongoing regulatory reviews and vendor compliance.
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 discrimination and fairness (1.1, 1.3), privacy protection (2.1), AI system security and robustness (2.2, 7.3), transparency and interpretability (7.4), governance structures (6.5), and human oversight (5.2). Coverage is concentrated in fairness, transparency, and 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
This document primarily governs Public Administration (excluding National Security) as it regulates California state agency procurement of automated decision systems. The governance applies across all sectors where state agencies operate and deploy ADS, but the direct regulatory target is government procurement processes.
Hard Law
Legislative Status Summary
This is a binding California state statute with mandatory language, enforcement mechanisms, and legal obligations on state agencies regarding ADS procurement.
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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 procurement and deployment stages of AI systems, with significant coverage of verification/validation requirements and operational monitoring. It addresses planning through risk assessment requirements but does not explicitly cover data collection or model building stages.
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' (AI). It does not 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 decision-making in government procurement contexts.
Document data from AGORA, CSET Emerging Technology Observatory.