
Cooperative AI Foundation
@coop_ai
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Supporting research that will improve the cooperative intelligence of advanced AI for the benefit of all.
Joined October 2021
"Policy and governance must think proactively about multi-agent AI safety". Read the recent piece by Natàlia Fernández and Marta Bieńkiewicz of @coop_ai on Tech Policy Press.
techpolicy.press
The deployment of agentic AI systems is producing interactions and outcomes of unprecedented complexity, write Natàlia Fernández Ashman and Marta Bieńkiewicz.
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Following our Concordia Contest held at #NeurIPS2024, we are excited to announce Google DeepMind's release of Concordia v2.0 for multi-agent evaluations. Watch the tutorial with Alexander (Sasha) Vezhnevets: .
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🔗 Dive into more key insights and highlights from the Summer School in our recent blogpost:
cooperativeai.com
The Cooperative AI Foundation held its annual Cooperative AI Summer School in July. Our Managing Director shares key highlights and takeaways from the 2025 edition.
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Applications are open for the @AISecurityInst's Alignment Project. We're delighted to see @coop_ai's 'Multi-Agent Risks from Advanced AI' report informed the grant call’s 'Economic Theory and Game Theory' research agenda.
📢Introducing the Alignment Project: A new fund for research on urgent challenges in AI alignment and control, backed by over £15 million. ▶️ Up to £1 million per project. ▶️ Compute access, venture capital investment, and expert support . Learn more and apply ⬇️.
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Thank you to ❇️Christian Schroeder de Witt @casdewitt (Open challenges in multi-agent security) and ❇️Nora Ammann @AmmannNora (Gradual Disempowerment) for their fantastic talks and office hours at the Cooperative AI Summer School today.
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RT @EugeneVinitsky: The cooperative AI summer school has been tremendously fun, with some of the best post-talk questions I’ve ever receive….
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Our Cooperative AI Summer School participants have been busy today with talks by ❇️Kate Larson (Cooperative Game Theory: Reasoning About the Group); ❇️Eugene Vinitsky @EugeneVinitsky: (Uncertainty constrains coordination: learning robust coordination from minimal data) and ❇️
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