Cooperative AI Foundation
Our mission is to support research that will improve the cooperative intelligence of advanced AI for the benefit of all.
Совещательная демократия, улучшенная с помощью искусственного интеллекта, и будущее коллективной ...
Evolving General Cooperation with a Bayesian Theory of Mind
Cooperative AI Research Fellowship Info Session - South Africa 2025
Doing Effective Research by Lewis Hammond
Properties of Cooperative Agents by Cecilia Tilli
Gradual Disempowerment by Nora Ammann
Open Challenges in Multi-Agent Security by Christian Schroeder de Witt
Empirical Meta-Game Analysis for Evaluation of Interactive AI by Michael Wellman
Human Data is the Cherry of Human-AI Interaction, Not the Cake by Eugene Vinitsky
Thinking Outside the Ballot Box by Ariel Procaccia
Empowering Collective Intelligence: Radical Collaboration with AI by Audrey Tang and Zarinah Agnew
Foundations and Frontiers of Cooperative AI by Vincent Conitzer
Cooperative AI Summer School Introduction by Lewis Hammond
Do LLM Agents Cooperate? Insights from GovSim and SanctSim
![Concordia Library v2.0 Release - Tutorial with Alexander (Sasha) Vezhnevets [Google DeepMind]](https://ricktube.ru/thumbnail/2FO5g65mu2I/mqdefault.jpg)
Concordia Library v2.0 Release - Tutorial with Alexander (Sasha) Vezhnevets [Google DeepMind]
Cooperative AI Summer School Participant Takeaways
Modelling Humans with Neural Networks for Behavioural Mechanism Design
Computational Social Choice and AI Value Learning by Rachel Freedman
Neuro-Symbolic Methods for Open-Ended Cooperative AI by Ed Hughes
Game Theory and Machine Learning for Addressing Societal Challenges by Fei Fang
Unsupervised Environment Design by Michael Dennis
How to go Beyond Research by Jesse Clifton
Self-Play by Noam Brown
How to do Research that Matters by Lewis Hammond
Distributed Computing Meets Game Theory by Joe Halpern
Achieving Cooperative Outcomes in Mixed Settings by Nisarg Shah
Introduction to Summer School by Lewis Hammond