Description: I am an Assistant Professor at the Information, Risk and Operation Management Department at McCombs School of Business at the University of Texas at Austin. I am also a core faculty member in the interdepartmental Machine Learning Laboratory and a Good Systems researcher. I hold a joint PhD in Machine Learning and Public Policy from…
I am an Assistant Professor at the Information, Risk and Operation Management Department at McCombs School of Business at the University of Texas at Austin . I am also a core faculty member in the interdepartmental Machine Learning Laboratory and a Good Systems researcher. I hold a joint PhD in Machine Learning and Public Policy from Carnegie Mellon University’s Machine Learning Department and Heinz College .
My research is focused on algorithmic fairness and human-AI complementarity. As part of my work, I characterize how societal biases encoded in historical data may be reproduced and amplified by ML models, and develop algorithms to mitigate these risks. Moreover, effective human-AI collaboration is often complicated by other factors, such as the fact that experts often care about constructs that are not well captured in the available labels. In my research, I aim to understand the limits and risks of using M
I am currently a member of FAccT ‘s Executive Committee. Previously, I served as co-Chair of Diversity & Inclusion for FAccT 2021-2022, and local arrangements co-Chair for WITS 2021. In 2017 I co-founded ML4D , which I co-led for five years.
Ligong Han
About | Jakob’s Academic Page
Adam Tauman Kalai
About | My Academic Page
Jennifer Mickel
Benedikt Boecking
Advancing AI Fairness, Safety, and Responsibility - Welcome!
Soumya - Homepage