Nisarg Shah

Nisarg Shah is an Associate Professor in the Department of Computer Science at the University of Toronto, where he is part of the Theory Group. He is also a Research Lead at the Schwartz Reisman Institute for Technology and Society and a Faculty Affiliate of the Vector Institute for Artificial Intelligence. His research focuses on theoretical foundations of artificial intelligence systems, including social choice theory, game theory, mechanism design, and algorithmic fairness. His work explores how to design AI systems that aggregate individual preferences for collective decisions and ensure fairness in various decision-making contexts. He co-developed Spliddit.org, a not-for-profit website that has assisted over 250,000 people in making provably fair decisions.

Nisarg Shah is an associate professor at the University of Toronto, specializing in Algorithmic Fairness, AI Alignment, and Computational Social Choice. His research focuses on developing fair and efficient mechanisms for resource allocation, social decision-making, and multi-agent systems. Shah's work explores fairness in allocation problems, such as fair division of indivisible goods, participatory budgeting, and dynamic fair division. He also investigates AI alignment, including risks from advanced AI and strategies for ensuring ethical decision-making. His publications address challenges in social choice theory, distortion in voting systems, and algorithmic fairness in machine learning. His research contributes to both theoretical and applied aspects of fairness and alignment in computational systems.