Our Team

The aim of FairPlay is to develop and analyze algorithms that learn alongside users. Specifically, we focus on creating procedures capable of performing traditional learning tasks—such as prediction, decision-making, and explanation—when the data is generated or supplied by strategic agents or in the presence of competing learning agents. Our work emphasizes societal and ethical considerations, particularly regarding the fairness and privacy of the users involved.

Learn more about our research!