Hoda Heidari is the K&L Gates Career Development Assistant Professor in Ethics and Computational Technologies at Carnegie Mellon University, with joint appointments in Machine Learning and Societal Computing. She is also affiliated with the Human-Computer Interaction Institute, CyLab, the Block Center for technology and Society, and the Institute for Politics and Strategy. Her research is broadly concerned with the social, ethical, and economic implications of Artificial Intelligence, and in particular, issues of fairness and accountability through the use of Machine Learning in socially consequential domains. Her work in this area has won a best-paper award at the ACM Conference on Fairness, Accountability, and Transparency (FAccT), an exemplary track award at the ACM Conference on Economics and Computation (EC), and a best paper award at IEEE Conference on Secure and Trustworthy Machine Learning (SAT-ML).
Dr. Heidari co-founded and co-leads the university-wide Responsible AI Initiative at CMU. She has organized several scholarly events on topics related to Responsible and Trustworthy AI, including multiple tutorials and workshops at top-tier Artificial Intelligence academic venues, such as NeurIPS, ICLR, and the Web conference. She is particularly interested in translating research contributions into positive impact on AI policy and practice, and has organized multiple campus-wide events and policy convenings, to address such topics as AI governance and accountability.
Dr. Heidari completed her doctoral studies in Computer and Information Science at the University of Pennsylvania. She holds an M.Sc. degree in Statistics from the Wharton School of Business. Before joining Carnegie Mellon as a faculty member, she was a postdoctoral scholar at the Machine Learning Institute of ETH Zurich, followed by a year at the Artificial Intelligence, Policy, and Practice (AIPP) initiative at Cornell University.