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Cooperative AI Foundation
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The Cooperative AI Foundation, linked to DeepMind researchers, focuses on multi-agent cooperation as a key pillar of AI safety, complementing alignment research by addressing how AI systems interact with each other and humans in complex environments.
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Summary
The Cooperative AI Foundation is an organization dedicated to advancing research on cooperative artificial intelligence — AI systems that can work effectively and safely with humans and other AI agents. It focuses on developing the science and technology needed to ensure AI systems are prosocially aligned and capable of navigating complex multi-agent environments. The foundation supports research, workshops, and initiatives aimed at solving coordination problems in AI development.
Key Points
- •Promotes research into AI systems that can cooperate with humans and other agents in beneficial ways
- •Addresses multi-agent coordination challenges as a core component of AI safety
- •Supports interdisciplinary work combining game theory, social science, and machine learning
- •Aims to ensure AI development leads to broadly beneficial outcomes through cooperative behavior
- •Funds and organizes workshops, grants, and collaborations across the AI safety research community
Cited by 2 pages
| Page | Type | Quality |
|---|---|---|
| Cooperative AI | Approach | 55.0 |
| Multi-Agent Safety | Approach | 68.0 |
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Cooperative AI
Cooperative AI at the Athens Roundtable 2025 We reflect on our contributions to the Seventh Edition of the Athens Roundtable, and detail how this year's theme strongly aligns with cooperative AI.
Learn more Agent Properties for Safe Interactions To make progress on multi-agent safety, we should study the properties that predict agent behaviour in cooperation problems. Read our recent blogpost on what key agent properties we should focus on, and more on why this matters.
Learn more AI-Facilitated Human Cooperation: What Would Success Look Like? Experts from academia, industry and civil society convened during our Cooperative AI Summer Retreat and reflected on how AI-facilitated human cooperation might work in practice, particularly to enhance our current democratic processes.
Learn more Google DeepMind Releases Concordia Library v2.0 Following the success of the Concordia Contest held by the Cooperative AI Foundation and collaborators at NeurIPS 2024, we are excited to announce the release of an updated Concordia library for multi-agent evaluations by Google DeepMind.
Learn more New 'Introduction to Cooperative AI' curriculum available Master the foundations of cooperative AI and gain confidence to contribute to the field.
Learn more Foundation Updates Announcing the 2026 Cooperative AI PhD Fellows
We're delighted to welcome 14 exceptional early careerists who'll be joining our next Cooperative AI PhD Fellowship cohort.
Learn more Thore Graepel Joins Board of Trustees
The Cooperative AI Foundation is delighted to welcome Google DeepMind Distinguished Research Scientist and prominent multi-agent researcher Thore Graepel to our board of trustees.
Learn more Recent Grants Awarded by the Cooperative AI Foundation
The Cooperative AI Foundation has provided a number of grants to support research on cooperative AI for the benefit of all.
Learn more Partnerships To Support Early-Career Researchers
The Cooperative AI Foundation has partnered with two external research initiatives (the PIBBSS Fellowship and the MATS Program) to support early-career researchers.
Learn more
Events Latest Seminars Date
Seminar Title
Speakers
17:00–18:00 UTC 26 March 2026
Nathaniel Sauerberg (University of Texas at Austin)
Safe Pareto Improvements: Cooperative Commitments without Compromise
15:00–16:00 UTC 22 January 2026
Tan Zhi Xuan (National University of Singapore)
Scaling Rational Cooperative Intelligence for Pluralistic AI Futures
17:00 - 18:00 UTC 18 December 2025
Haifeng Xu (University of Chicago)
The Interplay of Economic Thinking and Language Models: Vignettes and Lessons
17:00 - 18:00 UTC 20 November 2025
Manon Revel (Google DeepMind)
AI-Enhanced Deliberative Democracy and the Future of the Collective Will
16:00 - 17:00 UTC 23 October 2025
Max Kleiman-Weiner (University of Washington)
Evolving General Cooperation with a Bayesian Theory of
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