Anupam Datta is an associate professor at Carnegie Mellon University where he holds a joint appointment in the School of Computer Science and the Department of Electrical and Computer Engineering. His research focuses on the scientific foundations of security and privacy. Datta's work has led to new principles for securely composing cryptographic protocols and software systems; applications of these principles have influenced several IEEE and IETF standards. His work on privacy protection has led to formalizations of privacy as contextual integrity and purpose restrictions on information use; accountability mechanisms for privacy protection; and their applications in healthcare and Web privacy. Datta has authored a book and over 40 other publications on these topics. He serves on the Steering Committee and as the 2013-14 Program Co-Chair of the IEEE Computer Security Foundations Symposium. Datta obtained Ph.D. (2005) and M.S. (2002) degrees from Stanford University and a B.Tech. (2000) from IIT Kharagpur, all in Computer Science.
Accountability in Computer Decision-Making
2005 Ph.D., Computer Science, Stanford University
2002 MS, Computer Science, Stanford University
2000 Bachelor of Technology, Computer Science and Engineering, Indian Institute of Technology Kharagpur
Six things you should know about AI from experts in the field
Researchers from Carnegie Mellon University’s College of Engineering share what they have learned about artificial intelligence while working in the field.
CMU Silicon Valley
CMU-SV’s Top 10 of 2018
We are counting down to the new year with CMU-SV’s top 10 of 2018, celebrating novel projects, awards, and research wins from this past year.
Thwarting bias in AI systems
As machine learning systems are used more and more to make decisions about insurance, criminal justice, credit, and child welfare, we need to ensure that they are fair.
Reducing complexity to increase security
Carnegie Mellon University team receives $7.5M ONR grant for software complexity reduction, or simplifying complex internet protocols to build greater security.
Datta on using bots to analyze online discrimination
Internet bots have developed a bad reputation, but they remain necessary for research on online discrimination. A Carnegie Mellon University study used bots to analyze the variation in advertisements between men and women. The study found that Google ads treated men and women differently, but “we can’t be 100 percent sure why it happened,” said ECE’s Anupam Datta, one of the study’s authors.
Datta on discriminatory algorithms
Anupam Datta was cited by Techfestival in an article on the traits and causes of discriminatory algorithms and how their biases affect people.
Datta quoted on privacy and encryption
ECE’s Anupam Datta was quoted in Scientific American on the difficulties in making an entirely private way of transmitting data anonymously.
The College of Engineering faculty award winners announced
The College of Engineering has named this year’s faculty award winners, selected by the College of Engineering Faculty Awards Committee. Congratulations to the winners.
The Washington Post
Datta helps dispel myths about AI
ECE’s Anupam Datta spoke with The Washington Post on some common misconceptions the public has about AI, dispelling the myth that AI is immune to bias.
Datta cited by Fortune on the fairness of AI
Anupam Datta was cited in an article in Fortune about how AI might be fairly and judiciously engineered and applied in the wake of Facebook's scandal with Cambridge Analytica.
Datta cited by New Scientist on biased algorithms
ECE’s Anupam Datta was cited in New Scientist on his study regarding the biases in advertising algorithms in how they displayed high-paying job ads more to men than women.
Datta stresses internal processes of AI
ECE/CyLab’s Anupam Datta was featured in a story in The Economist discussing the push to understand why artificial intelligence (AI) agents make the decisions they do.