Seminar Details

Multimodal information systems (e.g., face matching systems) are now pervasive and mediate important aspects of human lives. Hence, it is important to maintain their fairness, i.e., equal performance for different demographic groups. In this talk, I will share 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, face matching, and multimodal 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,  fairness-aware fusion, and anticipatory bias correction.

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. He holds a Ph.D. in Computer Science from the University of California, Irvine and received his post-doctoral training at MIT.  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).  His work has received best paper awards from ASIS&T SIG-Social Media'22, IEEE Intelligent Systems'22, and ACM Web Science'24.