California AB 316 (Artificial intelligence: Defenses 2025)

• Authority: California
• Parent authority: State governments
• Jurisdiction: United States
• Collections: U.S. state and local documents
• Most recent activity: Enacted
• Most recent activity date: 2025-10-13

Risk subdomain coverage

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

• Governance failure
• AI pursuing its own goals
• Lack of capability or robustness

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 legal liability frameworks rather than specific AI risks. It addresses legal accountability mechanisms (6.5 Governance Failure) and implicitly touches on system safety through its prohibition of autonomy-based defenses (7.1, 7.3). Coverage is limited to 2-3 subdomains with minimal detail.

Sector coverage

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

• Agriculture, Mining, Construction & Manufacturing
• Trade, Transportation & Utilities
• Information
• Finance & Insurance
• Real Estate, Rental & Leasing
• Professional & Technical Services
• Scientific Research & Development Services
• Management, Administrative & Support Services
• Educational Services
• Health Care & Social Assistance
• Arts, Entertainment & Recreation
• Accommodation, Food & Other Services
• Public Administration (excl. National Security)
• National Security

All other sectors had no coverage in this document.

Sectors Summary

This statute applies broadly across all sectors where AI systems are developed, modified, or used, as it establishes general liability rules for civil actions involving AI-caused harms. No specific sectors are explicitly mentioned or excluded, making it a cross-sectoral legal framework applicable to any industry using AI.

Legislative Status

Hard Law

Legislative Status Summary

This is a binding California state statute that creates mandatory legal obligations regarding liability defenses in civil actions involving AI. It uses mandatory language ('shall not be a defense') and establishes enforceable legal requirements through the court system.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Entities: California State Legislature; The People of the State of California
• Summary: The document is enacted by the California state legislature as indicated by the formal enactment clause and addition to the California Civil Code.

Target

• Entity Types: AI_Developer, AI_Deployer, AI_User
• Summary: The statute explicitly targets defendants who developed, modified, or used artificial intelligence in civil actions where AI allegedly caused harm. This encompasses developers, deployers, and users of AI systems.

Enforcer

• Entity Types: AI_Governance_Actor
• Entities: California courts; California judicial system
• Summary: Enforcement occurs through the California court system in civil actions, where judges will apply this statute to prohibit defendants from asserting AI autonomy as a defense.

Monitor

• Entity Types: AI_Governance_Actor
• Summary: No explicit monitoring body is designated. Monitoring would occur implicitly through the California judicial system as cases are adjudicated and legal precedents are established.

AI Lifecycle Stages

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

• Deploy
• Operate and Monitor

AI Lifecycle Summary

The document does not focus on specific AI lifecycle stages but rather establishes legal liability rules that apply after AI systems have been deployed and allegedly caused harm. It implicitly covers the Deploy and Operate and Monitor stages by addressing post-deployment legal accountability.

Technical Scope

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

• AI Systems

Technical Scope Summary

The document explicitly defines and covers 'artificial intelligence' broadly as engineered or machine-based systems that can infer from inputs to generate outputs influencing environments. It does not distinguish between different types of AI (frontier, general purpose, task-specific, etc.) or mention compute thresholds or model architectures.