We are excited about projects that help developers implement comprehensive safety frameworks for artificial intelligence development in the real world. This thesis addresses an urgent need to integrate frontier research results in AI safety with practical deployment strategies.
We want to support projects building audit processes to helps organizations assess and improve their AI systems against evolving industry standards.
We think there is a dire lack of ventures that bridge the gap between technical innovation and public policy by facilitating meaningful scientifically-informed dialogue between regulators, technology developers, and civil society organizations.
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