Events Calendar

CS Colloquium: Evi Micha (University of Toronto) - Fair and Efficient Decision-Making for Social Good

Speaker: Evi Micha, University of Toronto

Talk Title: Fair and Efficient Decision-Making for Social Good

Series: CS Colloquium

Abstract: Algorithms have had a remarkable impact on human lives as they have been used increasingly to automate critical decisions. Consequently, it is more important than ever to design decision-making algorithms that treat people fairly, use limited resources efficiently, and foster social good. To illustrate my research in this direction, I will present two recent examples: in one, we boost the efficiency of COVID testing in a real-world setting, and in the other, we make the selection of citizens' assemblies more representative. Towards the end, I will address the challenging question of algorithmic fairness, making a case that fairness notions emerging from the EconCS literature have far-reaching applications, even to machine learning.

This lecture satisfies requirements for CSCI 591: Research Colloquium

Biography: Evi Micha is a Ph.D. candidate in the Computer Science Department at the University of Toronto, advised by Nisarg Shah. She is also an affiliate of the Vector Institute for Artificial Intelligence and a fellow of the Schwartz Reisman Institute for Technology and Society. Her research interests lie at the intersection of computer science and economics, and span areas such as algorithmic fairness and computational social choice.

Host: Sven Koenig

Location: Ronald Tutor Hall of Engineering (RTH) - 109

Audiences: Everyone Is Invited

Contact: Assistant to CS chair