MemCast
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Three-layer governance approach for AI
  • Immediate: Safety measures within AI companies (bioclassifiers, etc)
  • Medium-term: Industry standards and competition between approaches
  • Long-term: Societal/government input on AI behavior
  • Example: Collective Intelligence Project for constitution input
Dario AmodeiDwarkesh Patel02:10:01

Supporting quotes

One is we iterate within Anthropic. We train the model, we're not happy with it, and we change the constitution. I think that's good to do. Dario Amodei
The second level of loop is different companies having different constitutions. I think it's useful. Anthropic puts out a constitution, Gemini puts out a constitution, and other companies put out a constitution. Dario Amodei

From this concept

Governance Challenges

Amodei discusses the challenges of governing powerful AI systems, including biosecurity risks, authoritarian misuse, and the need for new governance architectures that preserve freedom.

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