Data Science Institute
Center for Technological Responsibility, Reimagination and Redesign

Suresh Venkatasubramanian

Director of the Center for Technological Responsibility, Reimagination, and Redesign, Interim Director of the Data Science Institute, Professor of Data Science and Computer Science

Biography

Suresh Venkatasubramanian is a Professor of Data Science and Computer Science at Brown University. Suresh's background is in algorithms and computational geometry, as well as data mining and machine learning. His current research interests lie in algorithmic fairness, and more generally the impact of automated decision-making systems in society. Prior to Brown University, Suresh was at the University of Utah, whereas an assistant professor he was the John and Marva Warnock Assistant Professor and received a CAREER award from the NSF for his work in the geometry of probability. He has received a test-of-time award at ICDE 2017 for his work in privacy. His research on algorithmic fairness has received press coverage across North America and Europe, including NPR’s Science Friday, NBC, and CNN, as well as in other media outlets. He is a past member of the Computing Community Consortium Council of the CRA, spent 4 years (2017-2021) as a member of the board of the ACLU in Utah, and is a past member of New York City’s Failure to Appear Tool (FTA) Research Advisory Council, the Research Advisory Council for the First Judicial District of Pennsylvania and the Utah State Auditor's Commission on protecting privacy and preventing discrimination.  For the 2021–2022 academic year, he served as Assistant Director for Science and Justice in the White House Office of Science and Technology Policy

 

Recent News

Check out the latest episode of the podcast The Internet is Crack, where CNTR Director and co-author of the AI Bill of Rights Suresh Venkatasubramanian sits down with the podcast hosts to discuss AI, fairness, accountability, and the future of algorithmic decision-making.
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TechPolicy.Press

'Sovereignty' Myth-Making in the AI Race

In the age of modern AI and politics, governments like the United States want sovereign AI: "self-sufficiency in the development of AI technologies." But the tech companies that have created this new technology have turned AI sovereignty into subscription services, "encouraging the illusion of a race for sovereign control while being the true powers behind the scenes."

In a new perspective piece published on TechPolicy.Press, Brown AI Policy researchers discuss AI sovereignty, sovereignty as a service, and where the
power really lies between tech companies and governments.
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