California ACR 96 Relative to the 23 Asilomar AI Principles 2023

• Authority: California
• Parent authority: State governments
• Jurisdiction: United States
• Collections: U.S. state and local documents
• Most recent activity: Enacted
• Most recent activity date: 2024-11-30

Risk subdomain coverage

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
• Cyberattacks, weapon development or use
• Overreliance and unsafe use
• Loss of human agency and autonomy
• Power centralization and unfair distribution
• Increased inequality and decline in employment
• Economic and cultural devaluation of human effort
• Competitive dynamics
• Governance failure
• AI pursuing its own goals
• AI possessing dangerous capabilities
• Lack of capability or robustness
• Lack of transparency or interpretability
• AI welfare and rights

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

The document has good coverage of approximately 12-14 subdomains, with strong focus on AI system safety and failures (7.1, 7.2, 7.3, 7.4), malicious actors and weapons (4.2), competitive dynamics (6.4), privacy (2.1, 2.2), human agency (5.1, 5.2), socioeconomic impacts (6.1, 6.2, 6.3, 6.5), and value alignment. Coverage is concentrated in AI safety, governance, ethics, and societal impact domains.

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
• Finance & Insurance
• Professional & Technical Services
• Scientific Research & Development Services
• Educational Services
• Health Care & Social Assistance
• Public Administration (excl. National Security)
• National Security

All other sectors had no coverage in this document.

Sectors Summary

This resolution provides cross-sectoral guidance applicable to all industries developing or deploying AI systems. It explicitly mentions healthcare, law, finance, manufacturing, and education as domains where AI will be applied, and addresses judicial systems. The principles are intended as universal guiding values rather than sector-specific regulations.

Legislative Status

Soft Law

Legislative Status Summary

This is a non-binding legislative resolution that expresses support for voluntary AI principles. It contains no enforcement mechanisms, penalties, or mandatory obligations, relying entirely on voluntary adherence to the Asilomar AI Principles.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Summary: The document is a concurrent resolution proposed by the California Assembly with Senate concurrence, expressing legislative support for the Asilomar AI Principles.

Target

• Entity Types: AI_Developer, AI_Governance_Actor
• Summary: The resolution targets AI researchers and developers who should follow the principles, as well as policy-makers who should use them as guiding values for AI policy development.

Enforcer

• Summary: No enforcement mechanisms, bodies, or procedures are specified in this non-binding resolution. It is a voluntary expression of support for principles.

Monitor

• Summary: No monitoring bodies, oversight mechanisms, or evaluation procedures are specified in this non-binding resolution.

AI Lifecycle Stages

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

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

AI Lifecycle Summary

The document covers all stages of the AI lifecycle comprehensively, from research and design through deployment and ongoing monitoring. It emphasizes safety throughout the operational lifetime, transparency in failures, and continuous alignment with human values across all stages.

Technical Scope

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

• AI Systems

Technical Scope Summary

The document uses broad terminology referring to 'AI systems' and 'artificial intelligence' generally without distinguishing between specific technical categories like foundation models, generative AI, or general purpose AI. It does reference advanced capabilities including 'superintelligence' and 'highly autonomous AI systems.' No compute thresholds or distinctions between open-weight and closed models are mentioned.