Official name: California ACR 96 Relative to the 23 Asilomar AI Principles 2023
Supports the 23 Asilomar AI Principles as guiding values for AI development and policy. Emphasizes safety, transparency, value alignment, shared benefit, and privacy. Urges cooperation among AI researchers and policymakers, and promotes avoiding an AI arms race.
Analysis summaries, actor details, and coverage mappings were LLM-classified and may contain errors.
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.
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.
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.
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.
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.
The document is a concurrent resolution proposed by the California Assembly with Senate concurrence, expressing legislative support for the Asilomar AI Principles.
No enforcement mechanisms, bodies, or procedures are specified in this non-binding resolution. It is a voluntary expression of support for principles.
No monitoring bodies, oversight mechanisms, or evaluation procedures are specified in this non-binding resolution.
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.
15 subdomains (15 Minimal)