Bio

Sarah Cen is an Assistant Professor at Carnegie Mellon University in the Departments of Electrical & Computer Engineering and Engineering & Public Policy. Her research falls at the intersection of machine learning and AI accountability. Recently, she has written on reducing information-resource gaps in AI accountability; the regulation and auditing of social media algorithms; the emergence of AI supply chains; the estimation of counterfactual potential outcomes under spillover effects; how competing for resources under uncertainty affects long-term outcomes; and individual-level rights of data-driven decision subjects. Previously, Sarah completed her postdoc at Stanford HAI with Percy Liang in Computer Science and Daniel E. Ho in the Law School’s RegLab, her PhD at MIT EECS under the mentorship of Aleksander Mądry and Devavrat Shah, her master’s at Oxford with Paul Newman, and her BSE at Princeton with Naomi Leonard.