Evi Micha

Evi Micha is an assistant professor at the University of Southern California's Thomas Lord Department of Computer Science. She completed postdoctoral research at Harvard University under the supervision of Ariel Procaccia. Before that, she obtained her Ph.D. from the University of Toronto, advised by Nisarg Shah. She has also served as an affiliate of the Vector Institute for Artificial Intelligence and a fellow of the Schwartz Reisman Institute for Technology and Society. Her research interests, which lie at the intersection of computer science and economics, include algorithmic fairness and computational social choice. One of her recent papers was selected as exemplary in the applied modeling track at the ACM Conference on Economics and Computation. In 2024, Micha’s research won the Canadian Artificial Intelligence Association's Best Dissertation Award and was recognized as a runner-up for the Victor Lesser Distinguished Dissertation Award from the International Foundation for Autonomous Agents and Multiagent Systems.

IASEAI '25 Sessions

Axioms for AI Alignment From Human Feedback

Day
Time
Session ID
Location
Feb 7
11:30am–1pm
Track 08
CC2