CHAI’s mission is to develop the conceptual and technical wherewithal to reorient the general thrust of AI research towards provably beneficial systems.

Highlights

8th Annual CHAI Workshop

CHAI held its 8th annual workshop at Asilomar Conference Grounds from June 13th to June 16th in Pacific Grove. The workshop had over 200 attendees which was the highest attendance to date. The workshop featured over 60 speakers and panelists and covered a wide array of topics from Societal Effects of AI to Adversarial Robustness.

What Can We Learn About AI in the 2024 Election?

Could we use AI to bring us together before the 2024 election? We’re going to find out.

Committing to the wrong artificial delegate in a collective-risk dilemma is better than directly committing mistakes

New research from computer scientists Inês Terrucha, Elias Fernández Domingos, Pieter Simoens, and Tom Lenaerts at the Vrije Universiteit Brussel, Université Libre de Bruxelles, and UC Berkeley’s Center for Human-Compatible AI

Prominent AI Scientists from China and the West Propose Joint Strategy to Mitigate Risks from AI

Ahead of the highly anticipated AI Safety Summit, leading AI scientists from the US, the PRC, the UK and other countries agreed on the importance of global cooperation and jointly called for research and policies to prevent unacceptable risks from advanced AI.

When Code Isn’t Law: Rethinking Regulation for Artificial Intelligence

Brian Judge, Mark Nitzberg, and Stuart Russell wrote an article that was featured in Oxford Academic’s Policy and Society.

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