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.

SPECIAL NOTE: This seminar is presented online only.

You can join via Webex

Meeting number (access code):  120 024 1284

Meeting password: 1234

Presented in association with the DATA-INSPIRE TRIPODS Institute.