Anupam Datta is a Professor of Electrical and Computer Engineering and (by courtesy) Computer Science at Carnegie Mellon University. He is Director of the Accountable Systems Lab. His research focuses on enabling real-world complex systems to be accountable for their behavior, especially as they pertain to privacy, fairness, and security. His work has helped create foundations and tools for accountable data-driven systems. Specific examples include an accountability tool chain for privacy compliance deployed in industry, automated discovery of gender bias in the targeting of job-related online ads, and principled tools for explaining decisions of artificial intelligence systems. Datta serves as lead PI of a large NSF project on Accountable Decision Systems, on the Steering Committee of the Conference on Fairness, Accountability, and Transparency in socio-technical systems, and as an Editor-in-Chief of Foundations and Trends of Privacy and Security. He obtained Ph.D. and M.S. degrees from Stanford University and a B.Tech. from IIT Kharagpur, all in Computer Science.
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