CHAI’s mission is to develop the conceptual and technical wherewithal to reorient the general thrust of AI research towards provably beneficial systems.
Highlights
A Practical Definition of Political Neutrality for AI
There is an urgent need for a clear, consistent, and practical definition of political neutrality for AI systems.
RvS: What is Essential for Offline RL via Supervised Learning?
Scott Emmons, PhD student, was an author on “RvS: What is Essential for Offline RL via Supervised Learning?”
Rachel Freedman selected as inaugural Cooperative AI Fellow
Rachel Freedman, PhD Student, has been selected as one of the fellows for Cooperative AI’s PhD Fellow Program.
Getting By Goal Misgeneralization With a Little Help From a Mentor
Khanh Nguyen, Mohamad Danesh, Ben Plaut, and Alina Trinh wrote this paper which was presented at Towards Safe & Trustworthy Agents Workshop at NeurIPS 2024.
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