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Katie Shilton, PhD

Professor
University of Maryland

Katie Shilton is a professor in the College of Information Studies at the University of Maryland, College Park. Her research focuses on technology and data ethics. She is a co-PI of the NSF Institute for Trustworthy Artificial Intelligence in Law & Society (TRAILS), and a co-PI of the Values-Centered Artificial Intelligence (VCAI) initiative at the University of Maryland. She was also recently the PI of the PERVADE project, a multi-campus collaboration focused on big data research ethics. Other projects include improving online content moderation with human-in-the-loop machine learning techniques; analyzing values in audiology technologies and treatment models; and designing experiential data ethics education. She was also the founding co-director of the University of Maryland’s undergraduate major in social data science. Katie received a B.A. from Oberlin College, a Master of Library and Information Science from UCLA, and a Ph.D. in Information Studies from UCLA.

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