Anupam Datta is 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 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. Datta has also made significant contributions to rigorously
accounting for security of cryptographic protocols. Specifically, his work led to new principles
for securely composing cryptographic protocols and their application to several protocol standards,
most notably to the IEEE 802.11i standard for wireless authentication and to attestation protocols
for trusted computing.

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.