Directs the California Department of Technology to develop and implement a research plan on how AI can improve state and local services, including analysis of the risks and benefits of various use cases, best practices from other governments, guidelines for risk management, monitoring, and evaluation, and privacy. Instructs the Department of Technology to submit a report on its findings to the legislature.
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 privacy risks (2.1) and governance considerations (6.5) through its research mandate. The focus is on studying potential benefits and risks of AI in government services rather than establishing comprehensive risk mitigation measures. Coverage is limited to research planning rather than active risk management.
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 primarily in Public Administration (excluding National Security) through research on AI applications in government services. It also addresses Health Care and Social Assistance, Accommodation/Food/Other Services (rental assistance), and Finance and Insurance (unemployment/disability insurance) sectors through specific use case analysis.
Hard Law
Legislative Status Summary
This is a binding legislative act (Senate Bill) that uses mandatory language ('shall') to impose legal obligations on the California Department of Technology to develop a research plan and submit a report to the Legislature.
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 Plan and Design stage by requiring research on AI feasibility and use cases. It also covers Verify and Validate through requirements for analyzing risks, benefits, and best practices. The Operate and Monitor stage is addressed through requirements for ongoing monitoring and evaluation recommendations.
Terms relating to technical scope that are mentioned or implicitly referenced in the document
Technical Scope Summary
The document explicitly mentions artificial intelligence technology and AI language systems. It refers to specific AI applications like virtual assistants, chatbots, and dialogue systems. There is no mention of frontier AI, general purpose AI, foundation models, compute thresholds, or open-weight models.
Document data from AGORA, CSET Emerging Technology Observatory.