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AI Safety is a Multi-Agent Problem with Natasha Jaques

Special guest session with Natasha Jaques (Assistant Professor, UW / Staff Research Scientist, Google DeepMind) a leading researcher in Social Reinforcement Learning and one of the pioneers of RLHF.

AI Safety is a Multi-Agent Problem: Natasha will discuss why current safety training paradigms fall short and make the case for a multi-agent framework as essential for provably safe LLMs. Session includes time for Q&A on her research, PhD applications, and careers spanning academia and industry.

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July 15

AI Safety Career Transitions and BlueDot Grants with Li-Lian Ang

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August 2

The AI Safety Research Landscape with Kiana Jafari