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Artificial Intelligence and Economics for Fair, Truthful, and Efficient Resource Allocation
February 13, 2019 at 1:30 PM to 2:30 PM
|Location:||5345 Herzberg Laboratories|
Resource allocation is one of the most fundamental problems that has generated an interestingly rich interplay between artificial intelligence and economics. In this talk, I will illustrate how this interaction spans from developing novel theories to deployed applications in multiagent systems. In particular, I will focus on randomized allocation mechanisms in dynamic environments, argue how traditional mechanisms fail to satisfy desirable social properties, and show how empirical findings can provide deep insights into theoretical guarantees. Lastly, I will briefly explain a novel approach for achieving fairness in resource allocation through information withholding.
Hadi Hosseini is an assistant professor in the Department of Computer Science at Rochester Institute of Technology. His research interest lies at the interface of artificial intelligence, computer science, and economics. More specifically, most of his research is on algorithmic game theory, matching theory, social choice, and computational fair division. Beside his work in multiagent systems, he studies novel teaching approaches in higher education pedagogy. Hadi was a postdoctoral research fellow at Carnegie Mellon University. Prior to that, he received his Ph.D. in computer science from the University of Waterloo, where he also worked as an instructional developer at the Centre for Teaching Excellence. He was a recipient of the government of Canada’s NSERC fellowship as well as UW’s Exceptional Teaching award. Hadi serves as a program committee and reviewer in several venues including AAAI, IJCAI, AAMAS, JAIR, TEAC, JAAMAS, and AIJ.
No registration required, seating is on a first come, first serve basis.