The Cooperative AI seminar series invites leading thinkers from a range of disciplines to explore the latest research updates in Cooperative AI. Past speakers include Edward Hughes (Google DeepMind), Vincent Conitzer (Carnegie Mellon University, University of Oxford) and Gillian Hadfield (Johns Hopkins University).
Unlike typical academic talks, our current monthly seminar series strives for openness and collaboration - allowing you to shape the agenda with your input. You can keep up to date with our public events by subscribing to our public calendar (via Google, or by adding this ICS URL to your calendar application). Previous seminars are uploaded to our YouTube channel.
Date
Seminar Title
Speakers
Exploring Multi-Agent Risks from Advanced AI
Lewis Hammond (Cooperative AI Foundation)
16:00 - 17:00 UTC 26 June 2025
Collective Cooperative Intelligence
Wolfram Barfuss (University of Tübingen, Princeton University)
15:00-16:30 UTC 19 May 2022
The Foundations of Cooperative Intelligence
Gillian Hadfield (Schwartz Reisman Institute for Technology and Society, University of Toronto)
16:00-17:30 UTC 6 May 2022
What Makes Human Data Special? How to Learn from Humans, Teach Them, and Help Them Better Teach Us
Dorsa Sadigh (Stanford University)
16:00-17:30 UTC 28 April 2022
Cultural Evolution as a Cooperative AI Generating Algorithm
Edward Hughes (DeepMind)
15:00-16:30 UTC 22 April 2022
Differential Progress in Cooperative AI: Motivation and Measurement
Jesse Clifton (Center on Long-Term Risk, CAIF, NCSU)
Sammy Martin (KCL, Center on Long-Term Risk)
13:00-14:00 UTC 10 March 2022
How to Measure and Train the Social-Cognitive Capacities, Representations, and Motivations Underlying Cooperation
Joel Leibo (DeepMind)
15:00-16:00 UTC 17 February 2022
AI Agents May Cooperate Better if They Don’t Resemble Us
Vincent Conitzer (Duke University, University of Oxford)
15:00-16:00 UTC 20 January 2022
