Lirong Xia, Rensselaer Polytechnic Institute (RPI)

Abstract

Voting is a widely-used methodology to make a collective decision for a group of agents. In this talk, I will introduce a new notion of group fairness, present a machine learning framework and a constrained optimization framework to design new voting rules that are fair and efficient, and illustrate the three-way trade-off between economic efficiency, fairness, and privacy.

The talk is based on Farhad Mohsin, Ao Liu, Pin-Yu Chen, Francesca Rossi and Lirong Xia. Learning to Design Fair and Private Voting Rules. Journal of Artificial Intelligence Research. 2022.