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-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.
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.