Graduate Student Fellow
Emily Black is a second year PhD student in the Accountable Systems Lab at Carnegie Mellon University, advised by Matt Fredrikson. Her research centers around making machine learning and deep learning systems fairer and more transparent. Currently, she is especially interested in understanding all the different ways in which models can be unfair, and finding reliable ways to audit models for these behaviors. She was a Summer Graduate Student Fellow in RegLab’s 2020 Summer Institute.