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Release of California Report: On June 17, 2025, the Joint California Policy Working Group on AI Frontier Models published “The California Report on Frontier AI Policy,” promoting a "trust but verify" framework for AI governance.
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Key Recommendations: Proposed measures include enhanced transparency for AI training data, mandatory adverse event reporting, and a third-party risk assessment framework for independent evaluation of AI systems.
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Proportionate Regulatory Thresholds: The report suggests adaptive regulatory thresholds based on multiple factors, such as model capabilities and risk levels, rather than solely computation-based metrics.
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Regulatory Philosophy: Emphasizing early policy intervention, the report draws from previous technology governance experiences, with potential phased legislative action anticipated during the 2025–2026 session.
- Challenges Ahead: While the report aims for evidence-based governance, it acknowledges significant opacity in AI systems and the difficulty of verifying true safety, highlighting the need for flexible compliance frameworks in a rapidly evolving landscape.