Requires developers to publicly post data documentation for generative AI systems released after 2022, covering datasets used, unless systems focus solely on security, aircraft operation, or national defense. Specifies details including data sources, purposes, and modifications.
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 transparency and documentation requirements rather than specific AI risks. It has minimal implicit coverage of privacy risks (2.1) through requirements to disclose personal information in training data, and governance mechanisms (6.5) through establishing documentation requirements. The document focuses on transparency obligations rather than risk mitigation.
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 legislation governs the Information sector, specifically targeting developers of generative AI systems and services. The requirements apply broadly to any developer making generative AI publicly available to Californians, with specific exemptions for national security, defense, and aircraft operation applications.
Hard Law
Legislative Status Summary
This is a binding California state statute with mandatory compliance requirements, specific obligations, and legal enforceability through the California Civil Code.
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 covers the Build and Use Model stage by requiring documentation of training data, and the Deploy stage by mandating public disclosure before systems are made available to Californians. It also implicitly touches on Collect and Process Data through requirements to document data sources, modifications, and characteristics.
Terms relating to technical scope that are mentioned or implicitly referenced in the document
Technical Scope Summary
The document explicitly focuses on generative artificial intelligence systems and services. It does not mention AI models separately from systems, nor does it reference frontier AI, general purpose AI, task-specific AI, foundation models, or predictive AI. It does not establish compute thresholds or address open-weight models.
Document data from AGORA, CSET Emerging Technology Observatory.