Selected articles, essays and reports.
Academic
"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, with Marta Ziosi (FAccT, 2024). [preprint]
Featured on the Computer Says Maybe podcast, hosted by Alix Dunn. "What the FAccT? Evidence of bias. Now what?" July 12, 2024.
"Ghosting the Machine: Judicial Resistance to a Risk Assessment Instrument," in Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency (FAccT, 2023). [preprint]
Awarded a Horowitz Foundation for Social Policy Grant and a University of Pittsburgh Year of Data & Society grant.
"Mechanical Jurisprudence and Domain Distortion: How Predictive Algorithms Warp the Law," Philosophy of Science (2021). [preprint]
Awarded the Mary B. Hesse Graduate Student Essay Award by the Philosophy of Science Association for the best single-authored paper submitted by a graduate student.
Public scholarship
"Carceral Technology and the Normalization of Psychological Torture," with Nedah Nemati, Open Global Rights (2025). [español]
"Prediction and Punishment: Critical Report on Carceral AI," with Hannah Pullen-Blasnik, Nikko Stevens, Shakeer Rahman, Clara Belitz, Logan Stapleton, Mallika Dharmaraj, Mizue Aizeki, Petra Molnar, Annika Pinch, Nathan Ryan, Thallita Lima, David Gray Widder, Amiya Tiwari, Ly Xīnzhèn Zhǎngsūn Brown, Jason Sexton, and Pablo Nunes (2024). [carceral-ai.com] [pdf on SSRN]
"How Recidivism Risk Assessments Impede Justice," Data & Society's Points blog (2023).
“Ghosting the Machine: Judicial Resistance to a Risk Assessment Instrument,” Montreal AI Ethics Institute blog (2023).
Manuscripts and works-in-progress
"Against AI Jurisprudence: Large Language Models and the False Promises of Textualism," with Jessie Allen (2025). Contact us for a draft.
"Mathematizing Crime and Punishment: Cybernetics, Criminology, and Objectivity in the Post-Stalin Soviet Union" (2023) (dissertation chapter).
"Meta-Mechanical Objectivity and the Limits of Algorithmic Fairness Audits" (2023) (dissertation chapter).