Requires developers and deployers to identify, mitigate, and monitor AI systems in healthcare for biased impacts. Obligates them to report compliance efforts annually. Instructs the department to publish these reports online. Effective from January 1, 2027.
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 primarily addresses discrimination and bias risks (1.1, 1.3) in healthcare AI systems, with focus on unfair treatment and unequal performance across protected groups. It also touches on governance (6.5) through regulatory oversight mechanisms and system safety (7.3, 7.4) through requirements for monitoring and documentation.
Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the sector are explicitly described.
All other sectors had no coverage in this document.
Sectors Summary
The document exclusively governs AI use in the Health Care and Social Assistance sector, with detailed requirements for developers and deployers of AI systems used in clinical decisionmaking and healthcare resource allocation. No other sectors are regulated.
Hard Law
Legislative Status Summary
This is a binding California state statute with mandatory obligations on developers and deployers, enforceable reporting requirements, and legal compliance mechanisms.
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 bias identification requirements, deployment through pre-deployment reporting obligations, and ongoing monitoring through annual deployer reporting and continuous bias mitigation requirements.
Terms relating to technical scope that are mentioned or implicitly referenced in the document
Technical Scope Summary
The document explicitly defines and covers AI systems used for clinical decisionmaking and healthcare resource allocation. 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 task-specific healthcare AI applications.
Document data from AGORA, CSET Emerging Technology Observatory.