Requires developers of generative AI (GenAI) models to document and disclose copyright-protected materials used for training, enable rights owners to request this information, and comply within 30 days. Exempts noncommercial research and models using publicly available data or owned materials.
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 intellectual property and transparency issues related to AI training data. It touches on governance failure (6.5) through its regulatory framework and has implicit connections to power centralization (6.1) through copyright protection mechanisms. The document does not substantially address most AI risk domains as it focuses narrowly on copyright documentation and disclosure requirements.
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 the Information sector, specifically AI developers and technology companies that create generative AI models. It also has significant implications for the Arts, Entertainment, and Recreation sector through its protection of copyrighted creative works. The law applies cross-sector to any developer using GenAI commercially in California or making it available to Californians.
Hard Law
Legislative Status Summary
This is a binding California state statute with mandatory obligations, enforcement mechanisms including civil penalties, and specific compliance requirements for GenAI developers.
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 'Collect and Process Data' and 'Build and Use Model' stages of the AI lifecycle, focusing on documentation and disclosure of copyrighted training data. It also addresses 'Deploy' through requirements for ongoing availability of information mechanisms, and 'Operate and Monitor' through retention requirements and ongoing obligations while models are in commercial use.
Terms relating to technical scope that are mentioned or implicitly referenced in the document
Technical Scope Summary
The document explicitly defines and covers generative artificial intelligence (GenAI) and AI models. It does not mention frontier AI, general purpose AI, task-specific AI, foundation models, predictive AI, or specific compute thresholds. It implicitly addresses open-weight models through exemptions and does not distinguish between different AI model types beyond generative AI.
Document data from AGORA, CSET Emerging Technology Observatory.