Fellowship in AI Research (FAIR) Symposium

The Fellowship AI Research (FAIR) Symposium will feature the research of 2024 Fellowship recipients and Tom Hartvigsen and Mona Sloane, faculty at the School of Data Science. 

The Fellowships in AI Research program, which originally launched under the Darden-Data Science Collaboratory (DCADS) in the fall of 2023, is now organized by the LaCross AI Institute.  It is the Institute’s primary vehicle to pursue and support collaboration in research. It is designed to support scholars, practitioners and UVA students who are, or intend to be, engaged in research that has beneficial practical outcomes and provides the foundation for substantive future work.  The FAIR Program is structured to provide initial funding for work that is conducted within the University of Virginia, as a collaboration among UVA faculty, staff and students, representing multiple disciplines.

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Tom Hartvigsen

Tom Hartvigsen is an assistant professor of data science at the University of Virginia. He works to make machine learning trustworthy, robust, and socially responsible enough for deployment in high-stakes, dynamic settings.  Tom's research has been published at many major peer-reviewed venues in Machine Learning, Natural Language Processing, and Data Mining. He is active in the machine learning community, serving as the General Chair for the Machine Learning for Health Symposium in 2023, helping organize the 2023 Conference on Health, Informatics, and Learning, and co-chairing workshops on time series and generative AI at NeurIPS'22 and ICML'23. Prior to joining UVA, Tom was a Postdoctoral Associate at MIT's Computer Science and Artificial Intelligence Laboratory. He holds a Ph.D. and M.S. in Data Science from Worcester Polytechnic Institute and a B.A. in Applied Math from SUNY Geneseo.

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Mona Sloane

Mona Sloane, Ph.D., is an Assistant Professor of Data Science and Media Studies at the University of Virginia (UVA). As a sociologist, she studies the intersection of technology and society, specifically in the context of AI design, use, and policy. At UVA, she is a Faculty Lead in the Digital Technology and Democracy Lab at the Karsh Institute of Democracy, Affiliated Faculty with the Department of Women, Gender and Sexuality, and Faculty Affiliate with the Thriving Youth in a Digital Environment (TYDE) research initiative. She also convenes the Co-Opting AI series and serves as the editor of the Co-Opting AI book series at the University of California Press as well as the Technology Editor for Public Books. Mona’s growing research group Sloane Lab conducts empirical research on the implications of technology for the organization of social life. Its focus lies on AI as a social phenomenon that intersects with wider cultural, economic, material, and political conditions. The lab spearheads social science leadership in applied work on responsible AI, public scholarship, and technology policy. More can be found at monasloane.org