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AI Safety Fundamentals: Governance

Frontier AI Regulation: Managing Emerging Risks to Public Safety

May 13, 2023
This podcast discusses the need for proactive regulation of Frontier AI models to manage risks. It explores challenges in regulating Frontier AI, proposes building blocks for regulation, and suggests safety standards. The chapters cover topics like oversight and governance, regulatory tools, licensing at the development stage, and the risks of premature government action. The podcast emphasizes the importance of compliance, expertise, and a balanced regulatory regime in AI safety.
29:59

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Quick takeaways

  • To regulate frontier AI models, three essential building blocks are needed: standard-setting processes, registration and reporting requirements, and mechanisms to ensure compliance with safety standards.
  • Multi-stakeholder processes should be initiated to develop safety standards for frontier AI models, involving experts, researchers, academics, and consumer representatives.

Deep dives

Frontier AI Models Pose a Distinct Regulatory Challenge

Frontier AI models, with their highly capable foundation models, could have dangerous capabilities that pose severe risks to public safety. Preventing misuse and controlling their proliferation is challenging. Standard setting processes, registration and reporting requirements, and compliance mechanisms are needed to regulate these models.

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