California Assembly Bill 2013 (2024)

• Authority: California
• Parent authority: State governments
• Jurisdiction: United States
• Collections: U.S. state and local documents
• Most recent activity: Enacted
• Most recent activity date: 2024-09-28

Risk subdomain coverage

Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the risk subdomain are explicitly described.

• Lack of transparency or interpretability

Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the risk subdomain are described.

• Compromise of privacy
• AI system security vulnerabilities

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

The document has minimal coverage of risk domains, with primary focus on transparency and documentation requirements rather than specific AI risks. Coverage is limited to subdomain 7.4 (Lack of transparency) with a score of 3, as the bill directly addresses transparency through mandatory training data disclosure. No other risk subdomains are substantially addressed.

Sector coverage

Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the sector are explicitly described.

• Information
• Scientific Research & Development Services

Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the sector are described.

• Professional & Technical Services
• Public Administration (excl. National Security)
• National Security

All other sectors had no coverage in this document.

Sectors Summary

This legislation applies broadly across all sectors where generative AI systems are developed and made publicly available to Californians. The bill governs AI developers regardless of their industry sector, with specific exemptions only for security-focused systems, aircraft operation systems, and national defense systems. The Information sector is most directly governed as it includes AI developers and technology companies.

Legislative Status

Hard Law

Legislative Status Summary

This is a binding California state statute with mandatory disclosure requirements, specific compliance deadlines, and legal enforceability through state law mechanisms.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Entities: California State Legislature; The people of the State of California
• Summary: The document is a California Assembly Bill enacted by the California State Legislature, as indicated by the opening phrase 'The people of the State of California do enact as follows' and the bill designation 'California Assembly Bill 2013 (2024)'.

Target

• Entity Types: AI_Developer
• Entities: Developers of generative artificial intelligence systems or services made publicly available to Californians
• Summary: The bill explicitly targets developers of generative AI systems or services, defined as persons, partnerships, state or local government agencies, or corporations that design, code, produce, or substantially modify AI systems for public use.

Enforcer

• Entity Types: AI_Governance_Actor
• Summary: The document does not explicitly name an enforcement agency. However, as this bill adds provisions to the California Civil Code, enforcement would typically fall to California state authorities, potentially including the California Attorney General's office and courts through civil litigation mechanisms.

Monitor

• Entity Types: AI_Governance_Actor
• Summary: The document does not explicitly specify a monitoring body. The transparency requirements create a self-executing disclosure mechanism where developers must post documentation publicly, enabling public oversight. Formal monitoring would likely be conducted by California state regulatory authorities.

AI Lifecycle Stages

Lifecycle stages covered by the documents, as defined in the OECD Framework for the Classification of AI Systems

• Collect and Process Data
• Build and Use Model
• Verify and Validate
• Deploy
• Operate and Monitor

AI Lifecycle Summary

The document primarily covers the 'Collect and Process Data' and 'Build and Use Model' stages through its detailed requirements for documenting training data. It also addresses 'Deploy' stage through disclosure requirements before public availability, and implicitly touches on 'Operate and Monitor' through ongoing disclosure requirements for substantial modifications.

Technical Scope

Terms relating to technical scope that are mentioned or implicitly referenced in the document

• AI Models
• AI Systems
• Generative AI
• Open Weight / Open Source

Technical Scope Summary

The document explicitly focuses on generative artificial intelligence systems and services, with detailed definitions provided. It does not mention frontier AI, general purpose AI, task-specific AI, foundation models, predictive AI, or specific compute thresholds. It does address open-weight models implicitly through public domain and copyright considerations.