Summary
Dasha Pruss is an Assistant Professor of Philosophy and Computer Science at George Mason University and a Faculty Associate at the Berkman Klein Center for Internet and Society at Harvard University.
Previously, she was a 2023-2024 fellow at the Berkman Klein Center and a postdoctoral fellow in the Embedded EthiCS program at Harvard University. In 2023 she received her PhD in history & philosophy of science from the University of Pittsburgh, where she was a National Science Foundation fellow, and she holds a BS in computer science.
Dr. Pruss draws on interdisciplinary methods from critical data studies, feminist philosophy of science, and the qualitative social sciences to examine how AI systems shape (and are shaped by) their social contexts. Her research critically interrogates the social impacts of algorithmic decision-making systems promoted by ‘evidence-based’ reforms in the US criminal legal system.
In 2024, she organized Prediction and Punishment: Cross-Disciplinary Workshop on Carceral AI, which brought together scholars and activists from around the world to address technologies designed to police, incarcerate, surveil, and control human beings. Dr. Pruss is also an activist and has co-organized efforts to ban facial recognition and predictive policing in the city of Pittsburgh.
Source: Mason page
OnAir Post: Dasha Pruss
About
Education
PhD, History & Philosophy of Science, University of Pittsburgh. 2023
MA, History & Philosophy of Science, University of Pittsburgh. 2020
BS, Computer Science, University of Utah. 2016
Source: https://philosophy.gmu.edu/people/dpruss
Contact
Email: School
Locations
George Mason University
Horizon Hall 6271
Web Links
Publications
Selected
Ziosi, M.*, & Pruss, D.* (2024). Evidence of What, for Whom? The Socially Contested Role of Algorithmic Bias in a Predictive Policing Tool. In Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency (FAccT’24) (pp. 1596-1608).
*Both authors contributed equally.
Pruss, D. (2023). Ghosting the machine: Judicial resistance to a recidivism risk assessment instrument. In Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency (FAccT ’23) (pp. 312-323).
Pruss, D. (2021). Mechanical jurisprudence and domain distortion: How predictive algorithms warp the law. Philosophy of Science, 88(5), 1101-1112.
Winner of the Mary B. Hesse Graduate Student Essay Award.
Pruss, D., Fujinuma, Y., Daughton, A. R., Paul, M. J., Arnot, B., Albers Szafir, D., & Boyd-Graber, J. (2019). Zika discourse in the Americas: A multilingual topic analysis of Twitter. PLOS One, 14(5), e0216922.