Join assistant professor Hadi Hosseini for an IST Research Talk titled "Algorithmic Fairness in Collective Decision-Making".

About This Talk

As artificial intelligence continues to rapidly transform the ways social, political, and commercial decisions are governed, fairness has become a pivotal concern in algorithmic and collective decision-making. It plays an instrumental role in the allocation of public and private resources both in centralized and distributed settings, ranging from the distribution of scarce medical resources (e.g., vaccines) in federated healthcare and the distribution of tasks in digital gig economy (e.g., ridesharing platforms) to the collective development of foundation models in data-oriented systems. These decisions require input from multiple self-interested entities (a.k.a. agents) that often have conflicting preferences. In this talk, I will describe some of the nuances in designing fair and robust algorithmic solutions for collective decision-making, give several examples for achieving approximate fairness through techniques that are rooted in economics and computer science, and discuss recent advances in bringing human value judgments into designing fairness axioms. 

About the Speaker

Hadi Hosseini is an assistant professor in the College of Information Sciences and Technology at Penn State. A member of the Data Science and Artificial Intelligence area, Hosseini’s research focuses on problems related to artificial intelligence and multiagent systems, including problems at the interface of computer science and economics. He studies different aspects of self-interested players in multiagent systems and develops algorithms and theoretical techniques to achieve certain computational and game-theoretical properties. Hosseini’s research is supported by an NSF CAREER Award, an NSF Medium RI Award, and an NSF CRII Award. He is an associate director of the Center for Artificial Intelligence Foundations and Engineered Systems (CAFE) and affiliated with both the Computer Science Theory Group and the Institute for Computational and Data Sciences. Prior to joining Penn State, Hosseini was an assistant professor in the Department of Computer Science at Rochester Institute of Technology and a postdoctoral research fellow at Carnegie Mellon University. He earned his doctorate in computer science at the University of Waterloo.