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Partner hackathon projectApr 14, 2025Berkeley, California

From Sandbox to Standards: A Risk-Based Strategy for Responsible AI Innovation in California

Cathy Sheng, Ana-Maria-Elena Radu · Team Controlled Chaos Collective

Submitted to Berkeley AI Policy Hackathon. Projects from partner hackathons are early-stage work by participants, not Apart Research publications.

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Report: From Sandbox to Standards: A Risk-Based Strategy for Responsible AI Innovation in California

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To safeguard the interests of California and its population, it is time to create a comprehensive AI regulation system based on inclusion and experimentation to support the unfettered development of AI technology in our state. California has the unique opportunity to cultivate its own version of a prosperous “Good AI Society,” defined by transparent and flexible regulations conducive to innovation and firmly anchored in the principles of freedom of speech and the unwavering pursuit of the American dream amidst the golden hills of our Silicon Valley.

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Cite this project

@misc{sheng2025from,
  title = {{From Sandbox to Standards: A Risk-Based Strategy for Responsible AI Innovation in California}},
  author = {Cathy Sheng and Ana-Maria-Elena Radu},
  year = {2025},
  month = apr,
  note = {Submitted to Berkeley AI Policy Hackathon, a partner hackathon},
  howpublished = {\url{https://apartresearch.com/sprints/projects/from-sandbox-to-standards-a-riskbased-strategy-for-responsible-ai-innovation-in-california-m9ul}},
  url = {https://apartresearch.com/sprints/projects/from-sandbox-to-standards-a-riskbased-strategy-for-responsible-ai-innovation-in-california-m9ul}
}

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AI Collusion Research Sprint · Oct 23 - 25, 2026