Our seminars invite leaders and emerging talent from academia and industry to explore the latest developments in the field of cooperative AI. Past speakers include Manon Revel (Google DeepMind), Vincent Conitzer (Carnegie Mellon University, University of Oxford) and Gillian Hadfield (Johns Hopkins University).
We run online seminars on a monthly basis. 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
Safe Pareto Improvements: Cooperative Commitments without Compromise
Nathaniel Sauerberg (University of Texas at Austin)
17:00–18:00 UTC 26 March 2026
Scaling Rational Cooperative Intelligence for Pluralistic AI Futures
Tan Zhi Xuan (National University of Singapore)
15:00–16:00 UTC 22 January 2026
The Interplay of Economic Thinking and Language Models: Vignettes and Lessons
Haifeng Xu (University of Chicago)
17:00 - 18:00 UTC 18 December 2025
AI-Enhanced Deliberative Democracy and the Future of the Collective Will
Manon Revel (Google DeepMind)
17:00 - 18:00 UTC 20 November 2025
Evolving General Cooperation with a Bayesian Theory of Mind
Max Kleiman-Weiner (University of Washington)
16:00 - 17:00 UTC 23 October 2025
Do LLM Agents Cooperate? Insights from GovSim and SanctSim
Zhijing Jin (Max Planck Institute for Intelligent Systems, University of Toronto)
16:00 - 17:00 UTC 11 September 2025
Modelling Humans with Neural Networks for Behavioural Mechanism Design
Raphael Köster (Google DeepMind)
16:00 - 17:00 UTC 7 August 2025
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
