Anupam Datta is Co-Founder, President, and Chief Scientist of TruEra. He is also a former Professor of Electrical & Computer Engineering and Computer Science at Carnegie Mellon University. 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 results include an accountability tool chain for privacy compliance deployed in industry, automated discovery of gender bias in the targeting of job-related online ads, principled tools for explaining decisions of artificial intelligence systems, and monitoring audit logs to ensure privacy compliance.
Anupam Datta serves as lead PI of a large NSF project on Accountable Decision Systems, on the Steering Committees of the Conference on Fairness, Accountability, and Transparency in socio-technical systems and the IEEE Computer Security Foundations Symposium, and as an Editor-in-Chief of Foundations and Trends in 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.
(for speaker submissions)
He has spoken at numerous conferences on Machine Learning including The Economist Innovation Summit, PrivaCI@Princeton, International Test Conference (AI session), DARPA Safe Machine Learning, Data Privacy@Simons Institute, Data Economy@Telecom, ParisTech, PLSC@Berkeley, Algorithms and Explanations@NYU, FAT/ML@NYU, BigData@CSAIL Data Privacy Series at MIT, Safe AI@CMU + White House OSTP, Formal Methods and Security@PLDI'16, Security and Human Behavior'16@Harvard, Privacy Engineering@Oakland'16, John Mitchell Festscrift@Stanford, Science of Security@CPSWeek'16, FTC PrivacyCon'16
More details on Datta’s research and talks can be found here: https://www.andrew.cmu.edu/user/danupam/
