Vivek Singh, Rutgers University

Abstract

Today Artificial Intelligence (AI) algorithms are used to make multiple decisions affecting human lives and many such algorithms have been reported to be biased. This includes parole decisions, search results, and product recommendation, among others. Using multiple examples of recent efforts from my lab, I will discuss how such bias can be systematically measured and how the underlying algorithms can be made less biased. More details available at: http://wp.comminfo.rutgers.edu/vsingh/algorithmic-bias/

Short Bio:

Dr. 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 Information and Computer Science from the University of California, Irvine. His work has appeared in leading disciplinary and interdisciplinary publication venues (e.g. Science, ACM CHI, JASIST) and has been covered by popular media (e.g. New York Times, BBC, Wall Street Journal). 

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Presented in association with the Research Experiences for Undergraduates (REU) Program and the DATA-INSPIRE TRIPODS Institute.