CRELS

CRELS

Recap

Published December 16, 2025

Maximilian Kasy: “The Means of Prediction: How AI Really Works (and Who Benefits)”

Recorded on December 2, 2025, this video features a talk by Maximilian Kasy, Professor of Economics at the University of Oxford, presenting his book The Means of Prediction: How AI Really Works (and Who Benefits). In the book, Kasy clearly and accessibly explains the fundamental principles on which AI works, and, in doing so, reveals that the real conflict isn’t between humans and machines, but between those who control the machines and the rest of us.

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CRELS

Recap

Published October 21, 2025

Legitimation by (Mis)identification: Credit, Discrimination, and The Racial Epistemology of Algorithmic Expansion

Recorded on September 22, 2025, this video features a talk by Davon Norris, Assistant Professor of Organizational Studies and Sociology (by courtesy) and Faculty Associate at the Stone Center for Inequality Dynamics at the University of Michigan. Professor Norris’s research is broadly oriented to understanding how our ways of determining what is valuable informs patterns of inequality with an acute focus on racism and racial inequality.

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CRELS

Recap

Published April 23, 2025

Consequential Sentences: Computational Analyses of California Parole Hearing Transcripts

Recorded on April 1, 2025, this video features a talk by AJ Alvero, a computational sociologist at Cornell University, presenting findings from an analysis of parole hearing transcripts in California. This talk is part of a symposium series presented by the UC Berkeley Computational Research for Equity in the Legal System Training Program (CRELS), which […]

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CRELS

Recap

Published April 23, 2025

Alex Roehrkasse: The New Contours of Mass Incarceration

Recorded on March 18, 2025, this video features a talk by Alexander F. Roehrkasse, Assistant Professor of Sociology and Criminology at Butler University. In the talk, Roehrkasse presents new evidence of declining Black–White inequality and skyrocketing educational inequality in U.S. prison admissions.

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