Michael P. Wellman is Lynn A. Conway Collegiate Professor of Computer Science & Engineering at the University of Michigan. He received a PhD from the Massachusetts Institute of Technology in 1988 for his work in qualitative probabilistic reasoning and decision-theoretic planning. From 1988 to 1992, Wellman conducted research in these areas at the USAF’s Wright Laboratory. For the past 30+ years, his research has focused on computational market mechanisms and game-theoretic reasoning methods, with applications in electronic commerce, finance, and cyber-security. As Chief Market Technologist for TradingDynamics, Inc., he designed configurable auction technology for dynamic business-to-business commerce. Wellman previously served as Chair of the ACM Special Interest Group on Electronic Commerce (SIGecom), and as Executive Editor of the Journal of Artificial Intelligence Research. He is a Fellow of the Association for the Advancement of Artificial Intelligence and the Association for Computing Machinery.

Ariel Procaccia is Gordon McKay Professor of Computer Science at Harvard University. He works on a broad and dynamic set of problems related to AI, algorithms, economics, and society. He has helped create systems and platforms that are widely used to solve everyday fair division problems, resettle refugees and select citizens’ assemblies. To make his research accessible to the public, he regularly writes opinion and exposition pieces for publications such as the Washington Post, Bloomberg, Wired and Scientific American. He is a AAAI Fellow (2024) and a recipient of the ACM SIGecom Mid-Career Award (2024), Social Choice and Welfare Prize (2020), Guggenheim Fellowship (2018), IJCAI Computers and Thought Award (2015) and Sloan Research Fellowship (2015).

Formally trained as a neuroscientist, Zarinah is the Director of Research at The Collective Intelligence Project exploring emerging technologies and the science of collectivity. They had a 15 year career in academia, were then president of Irrational Labs & the Social Science Observatory, and were part of the faculty at London College of Political Technology. In previous lives, Zarinah has run a science hotel, been an Aspen Foresight Fellow, and a science consultant.

Vincent Conitzer is Professor of Computer Science (with affiliate/courtesy appointments in Machine Learning, Philosophy, and the Tepper School of Business) at Carnegie Mellon University, where he directs the Foundations of Cooperative AI Lab (FOCAL). He is also Head of Technical AI Engagement at the Institute for Ethics in AI, and Professor of Computer Science and Philosophy, at the University of Oxford. Previous to joining CMU, Conitzer was the Kimberly J. Jenkins Distinguished University Professor of New Technologies and Professor of Computer Science, Professor of Economics, and Professor of Philosophy at Duke University. He received Ph.D. (2006) and M.S. (2003) degrees in Computer Science from Carnegie Mellon University, and an A.B. (2001) degree in Applied Mathematics from Harvard University.

Christian Schroeder de Witt is a Research Fellow and Stipendiary Lecturer at the University of Oxford specialising in AI security and multi-agent learning. His current research interests include high-dimensional anomaly detection, LLM reasoning, and multi-agent LLM post-training in the context of emerging abilities. Christian's contributions to undetectable threats, perfectly-secure steganography, and learning in multi-agent systems have advanced foundational AI research and garnered coverage in Quanta Magazine and Scientific American. His work also reached 2-5 million viewers on BBC Studios. He's been invited to speak on AI policy at prestigious venues including the 2023 Munich Security Forum and the 2025 Schmidt Futures x Palo Alto Networks x RAND Corporation Agent Security Convening in Santa Clara. He also collaborates with leading research institutions including Google DeepMind, Microsoft, OpenAI, and Lawrence Livermore National Laboratory. As an educator, he's developed the world’s first doctoral-level course on the Frontiers of Cooperative AI.

Nora’s work seeks to catalyse R&D that can help make transformative AI go well. She is currently a Technical Specialist at the UK’s Advanced Research & Invention Agency where she helps manage a £59m-backed programme which prototypes provable guarantees for safety-critical applications of AI. She also recently worked on hardware-enabled mechanisms for AI security & verification, and co-authored a paper on systemic AI risk coining the term ‘Gradual Disempowerment’. Nora has an interdisciplinary background spanning complex systems, political theory, philosophy of science, and AI. Before ARIA, she co-founded and led an AI Safety initiative fostering interdisciplinary AI safety research (PIBBSS), and did research management at the Future of Humanity Institute in Oxford, among others.

Lewis Hammond serves as Research Director of the Cooperative AI Foundation and is a DPhil candidate in Computer Science at the University of Oxford. He is also also affiliated with the Centre for the Governance of AI and is a ‘Pathways to AI Policy’ fellow at the Wilson Center. His research concerns safety and cooperation in multi-agent systems, motivated by the problem of ensuring that AI and other powerful technologies are developed and governed safely and democratically. Currently, his work focuses on strategic interactions between agents of different computational capabilities and has been funded by the UK Engineering and Physical Sciences Research Council, OpenAI, and the Long-Term Future Fund. Before coming to Oxford he obtained a BSc in mathematics and philosophy from the University of Warwick and an MSc in artificial intelligence from the University of Edinburgh.

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Cecilia Elena Tilli is Associate Director (Research & Grants) at the Cooperative AI Foundation and has worked with research impact (i.e., The Foundation to Prevent Antibiotic Resistance, Effective Altruism Sweden, Peafowl Plasmonics) for over ten years in different capacities - from meta-science and grantmaking to the implementation of research-based innovations in new products. Her work at CAIF is focused on the development and refinement of research priorities and different interventions to maximize the impact of the field.

Kate Larson is a Professor and holds a University Research Chair in the Cheriton School of Computer Science, University of Waterloo and is a Research Scientist with Google DeepMind. She is interested in algorithmic questions arising in artificial intelligence and multiagent systems with a particular focus on algorithmic game theory and computational social choice, group decision making, preference modelling, and the insights that reinforcement learning can bring to these problems, along with ways of promoting and supporting cooperative AI. She is an AAAI Fellow, and her work has been awarded several best paper awards, including at the International Conference on Autonomous Agents and Multiagent Systems (AAMAS), and ACM Conference on Computer-Supported Cooperative Work and Social Computing (ACM CSCW).  Because she likes seeing cooperation in action, she has been involved in organizing and supporting many conferences and workshops in different roles, including AAMAS (general chair) and IJCAI (program chair).

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Eugene Vinitsky is an Assistant Professor at the Tandon School of Engineering at New York University. His research primarily focuses on the practical challenges of designing multi-agent systems, with an emphasis on designing reinforcement learning algorithms and tools that make designing decentralized autonomous agents quick and easy. He received his PhD at UC Berkeley in controls engineering under Alexandre Bayen and has spent time at Apple Special Projects Group, DeepMind, Facebook AI Research, and Tesla.

Taiwan’s former Digital Minster and current Cyber Ambassador Audrey Tang has been instrumental in positioning Taiwan at the forefront of internet freedom and civic participation. Her work saw her named one of the “100 Most Influential People in AI” in TIME magazine 2023. 

Audrey’s work as Digital Minister saw her play an instrumental role in building Join.gov.tw, a participatory governance system that led to practical improvements such as enhanced access to tax software and revised cancer treatment regulations. In Audrey’s current role as Taiwan’s Cyber Ambassador, she advises on international cooperation and exchanges related to digital governance, development and applications. Her recent focus is on ⿻ Plurality, understood as using technology to enhance collaboration across social differences