Vivek Singh, Rutgers University

Abstract

Today Artificial Intelligence algorithms are used to make multiple decisions affecting human lives, and many such algorithms, such as those used in parole decisions, have been reported to be biased. In this talk, I will share some recent work from our lab on auditing algorithms for bias, designing ways to reduce bias, and expanding the definition of bias. This includes applications such as image search, health information dissemination, and cyberbullying detection. The results will cover a range of data modalities, (e.g., visual, textual, and social) as well as techniques such as fair adversarial networks, flexible fair regression, and fairness-aware fusion.

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Speaker Bio: Vivek Singh is the founding Director of the Behavioral Informatics Lab and an Associate Professor in the School of Communication and Information at Rutgers University. Before joining Rutgers, he was a post-doctoral researcher at the MIT Media Lab. He holds a Ph.D. in Computer Science from the University of California, Irvine. His work has appeared in leading disciplinary and interdisciplinary publication venues (e.g., Science, ACM Multimedia, ACM CHI) and has been covered by popular media (e.g., The New York Times, BBC, Wall Street Journal). He was selected as one of the “Rising Star Speakers” by ACM SIG-Multimedia in 2016.