Cooperative AI Foundation · AI · Grants
CAIF Research Grants
The Cooperative AI Foundation's research grants fund work that improves the cooperative intelligence of advanced AI, addressing multi-agent and cooperation problems among AI systems and between AI and humans. Grants run GBP 10,000-385,000 (median ~GBP 150,000, Early-Career Track up to GBP 100,000) in periodic rounds via a two-stage pre-proposal and full-proposal process; projects run up to 2 years with indirect costs capped at 10%.
Who can apply
- Eligibility
- Not recorded. Check the funder's terms.
- Location
- Not recorded. Check the funder's terms.
- Funding
- Not recorded. Check the funder's terms.
Round history
No rounds on file.
Past rounds stay on the page, so you can see how often this program opens.
Funding evidence
Funding evidence is temporarily unavailable. The existing program record remains available above.
Sources
Awards
22 on fileShowing 1-22 of 22, newest dated evidence first
RecipientAmountDateEvidence
- A Cooperative AI Contest with Melting Pot, Massachusetts Institute of Technology (Dylan Hadfield-Menell)AmountUSD 134,175Date–
- ACES: Action Explanation Through Counterfactual Simulation, Stanford University (Tobias Gerstenberg and Dorsa Sadigh)AmountUSD 500,000Date–
- AI Coercive Capabilities: Concepts and Measurements, Uppsala University (Sophia Hatz)Amount639,830 SEKDate–
- AI for Humanitarian Crisis Negotiation and Beyond, Harvard University (Finale Doshi-Velez)AmountUSD 213,707Date–
- Conceptualising Collective Cooperative Intelligence, University of Bonn (Wolfram Barfuss)AmountEUR 172,000Date–
- Cooperation and Negotiation in Large Language Models, University of Washington and UC Berkeley (Natasha Jaques and Sergey Levine)AmountUSD 450,000Date–
- Deliberative Technology in Conflict Contexts, Search for Common Ground (with University of Oxford)AmountUSD 280,000Date–
- Designing Robust Cooperative AI Systems, Harvard University (Matthias Gerstgrasser and David Parkes)AmountUSD 140,000Date–
- Emergent Norms for Sustainable Cooperation, University of Washington (Max Kleiman-Weiner)AmountUSD 293,574Date–
- Enhancing Shareholder Democracy Using AI-Mediated Representation, MIT (Michiel Bakker)AmountUSD 121,506Date–
- Foundations of Cooperative AI Lab (FOCAL), Carnegie Mellon University (Vincent Conitzer)AmountUSD 500,000Date–
- Governing the Risks That the Interaction Between AI Agents May Present to International Peace and Security, Stockholm International Peace Research Institute (SIPRI)Amount373,000 SEKDate–
- Hierarchical Theories of Time and Cooperative AI, University of Washington (Kunal Jha)AmountUSD 64,763Date–
- Integrating Intention Into Cooperative AI, Cornell University (Joseph Halpern)AmountUSD 123,682Date–
- Machine Learning in Multi-Agent Settings, University of Oxford (Jakob Foerster and Christian Schroeder de Witt)AmountGBP 166,370Date–
- Measuring Cooperation Among Competing AI Algorithms, University of Michigan (Mithun Chakraborty and Michael P. Wellman)AmountUSD 347,424Date–
- Other-Regarding Goals, Center on Long-Term Risk (Mia Taylor)AmountGBP 74,344Date–
- Policy Aggregation, Harvard University (Ariel Procaccia)AmountUSD 233,264Date–
- Quick and Safe Adaptation to New Teams, New York University (Eugene Vinitsky)AmountUSD 150,974Date–
- Scaling Opponent Shaping, University College London (Akbir Khan)AmountGBP 10,000Date–
- Strategic Compression for Adaptive Coordination, University of California, Berkeley (Sandy Tanwisuth)AmountUSD 15,000Date–
- The Habermas Machine: a public tool to help humans find common ground, University of Oxford (Christopher Summerfield)AmountGBP 366,070Date–