February 9-10, 2024
Prediction and Punishment: Cross-Disciplinary Workshop on Carceral AI
Center for Philosophy of Science, University of Pittsburgh
This cross-disciplinary workshop will provide an interactive meeting point for researchers to address the expanding use of AI in criminal legal contexts. We use the term ‘carceral AI’ to refer to a broad class of algorithmic and data-driven practices implicated in the control and incarceration of people. Examples include predictive policing, facial recognition, recidivism risk assessment instruments, automatic license plate readers, border surveillance systems, biometric databases, electronic monitoring, and audio gunshot locators. Such technologies are often introduced as ‘smart’, ‘evidence-based’, or ‘data-driven’ reforms that claim to reduce bias and increase efficiency, such as ‘evidence-based’ sentencing and ‘smart’ borders. In practice, however, AI systems can interact in complicated ways with existing social and legal structures, reinforce or mask existing structural injustices, and expand the reach of carceral systems under the guise of scientific rigor. Participants in this workshop are invited to explore how such technologies both inform and interact with topics including incarceration, policing, migration, privatization, surveillance, racial and gender justice, and resistance. We welcome contributions from civil society organizations and academic researchers from disciplines including but not limited to philosophy, law, and the social sciences. Participants will be invited to contribute to a special report on carceral AI.
Co-Sponsored by The Center for Philosophy of Science at the University of Pittsburgh and the Center for Ethics and Policy at Carnegie Mellon University, Embedded EthiCS at Harvard University, with the generous financial support of Gayle Rogers (Mellon Professor and Chair, Department of English), Ronald Brand (Nordenberg Chair Funds), Pitt Cyber, and Center for Ethics and Policy.