Dasha Pruss
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dashapruss.bsky.social
Dasha Pruss
@dashapruss.bsky.social
Critically studying carceral tech and organizing against it.
▪️Assistant Professor of Philosophy, University of Illinois Chicago
▪️Faculty Associate, Berkman Klein Center, Harvard University
▪️dashapruss.com
Big thank you to @juanof9.bsky.social for the opportunity to contribute!
February 21, 2025 at 5:19 AM
@davidthewid.bsky.social Amiya Tiwari, Ly Xīnzhèn Zhǎngsūn, @jasonsexton.bsky.social @pblnns.com and many others who gave us input!

We welcome feedback and hope to spark new conversations and collaborations to resist these harmful technologies. Please do reach out!
November 20, 2024 at 3:32 PM
A huge thank you to my co-authors @hpullenblasnik.bsky.social @drnikki.bsky.social @shakeer.bsky.social Clara Belitz, Logan Stapleton, Mallika G. Dharmaraj, Mizue Aizeki @petramolnar.com @annikapinch.bsky.social Nathan Ryan, @thallitalima.bsky.social
November 20, 2024 at 3:32 PM
This report was collectively written by a group of critical researchers and activists following Prediction and Punishment: Cross-Disciplinary Workshop on Carceral AI, which I organized in February 2024. Much of the report was sourced from presentations by workshop participants.
November 20, 2024 at 3:32 PM
We advocate against carceral technologies and urge the public, policymakers, and researchers to be wary of these so-called 'smart', 'evidence-based', or 'data-driven' reforms.
November 20, 2024 at 3:32 PM
Carceral AI often reinforces or masks existing structural injustices, expands the reach of carceral systems under the guise of scientific rigor, and interacts in complicated ways with existing legal systems, which are ill-prepared to handle the changes introduced by such tech.
November 20, 2024 at 3:32 PM
Our report covers a range of carceral AI systems, including predictive policing, facial recognition, recidivism risk assessment instruments, automatic license plate readers, border surveillance drones, electronic monitoring, and audio gunshot locators.
November 20, 2024 at 3:32 PM