Rate My Professor Vincent Conitzer

Vincent Conitzer is Professor of Computer Science at Carnegie Mellon University, with affiliate or courtesy appointments in the Machine Learning Department, Department of Philosophy, and Tepper School of Business. He directs the Foundations of Cooperative AI Lab (FOCAL). Conitzer received an A.B. in Applied Mathematics from Harvard University in 2001, an M.S. in Computer Science from Carnegie Mellon University in 2003, and a Ph.D. in Computer Science from Carnegie Mellon University in 2006, with a dissertation titled "Computational Aspects of Preference Aggregation." His research specializes in computational social choice, game theory, mechanism design, artificial intelligence ethics, and cooperative AI. He is the author of the book "Moral AI: And How We Get There" (2024, with Jana Schaich Borg and Walter Sinnott-Armstrong) and co-editor of the "Handbook of Computational Social Choice" (Cambridge University Press, 2016).

Prior to joining Carnegie Mellon in 2022, Conitzer was the Kimberly J. Jenkins Distinguished University Professor of New Technologies and Professor of Computer Science, Economics, and Philosophy at Duke University from 2006 to 2022. He also served at the University of Oxford from 2021 to 2026 as Professor of Computer Science and Philosophy, Head of Technical AI Engagement at the Institute for Ethics in AI, and Visiting Fellow at Pembroke College. Conitzer has earned major awards including the ACM/SIGAI Autonomous Agents Research Award (2021), Social Choice and Welfare Prize (2014), Guggenheim Fellowship (2015), Alfred P. Sloan Research Fellowship (2008), Presidential Early Career Award for Scientists and Engineers (PECASE, 2011), IJCAI Computers and Thought Award (2011), ACM Fellowship (2019), and AAAI Fellowship (2019). Notable publications include "Computing the Optimal Strategy to Commit to" (2006, with Tuomas Sandholm; IFAAMAS Influential Paper Award 2022), "Moral Decision Making Frameworks for Artificial Intelligence" (2017; Computing Community Consortium Blue Sky Award), and "Adapting a Kidney Exchange Algorithm to Align with Human Values" (2018). He has held leadership roles such as Founding Editor-in-Chief of ACM Transactions on Economics and Computation (two terms), Program Co-Chair of AAAI 2020, Conference Chair of AIES 2022, and Chair of the standing committee of the One Hundred Year Study on Artificial Intelligence (AI100).