The conversation explores the failure of AI governance, the need to move governance closer to where decisions are made, and the shift to product-centric governance. It also discusses the importance of specificity and context in governance, grounding governance in architecture, and enabling speed and scalability through product-based governance.

Takeaways

• AI governance fails due to a product problem, not a policy problem
• Governance needs to move closer to where decisions are made
• Product-based governance enables speed and scalability

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