EPISODE · Apr 14, 2021 · 1H 24M
Artificial Intelligence in Criminal Sentencing
from UVA Law · host University of Virginia School of Law
A panel explores the increasingly prevalent use of artificial intelligence risk assessment tools in criminal sentencing, and whether the results of such predictive algorithms are appropriately admissible at sentencing hearings in court. Panelists include Professor Deborah Hellman; Professor Jessica M. Eaglin, IU Maurer Law; Julia Dressel, software engineer at Recidiviz; Alex Chohlas-Wood, executive director of the Stanford Computational Policy Lab and former director of analytics for NYPD, with moderator Judge Jed S. Rakoff, U.S. district judge for the Southern District of New York. This event was co-hosted by The Virginia Journal of Law & Technology and the Virginia Journal of Criminal Law. (University of Virginia School of Law, April 2, 2021)
What this episode covers
A panel explores the increasingly prevalent use of artificial intelligence risk assessment tools in criminal sentencing, and whether the results of such predictive algorithms are appropriately admissible at sentencing hearings in court. Panelists include Professor Deborah Hellman; Professor Jessica M. Eaglin, IU Maurer Law; Julia Dressel, software engineer at Recidiviz; Alex Chohlas-Wood, executive director of the Stanford Computational Policy Lab and former director of analytics for NYPD, with moderator Judge Jed S. Rakoff, U.S. district judge for the Southern District of New York. This event was co-hosted by The Virginia Journal of Law & Technology and the Virginia Journal of Criminal Law. (University of Virginia School of Law, April 2, 2021)
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Artificial Intelligence in Criminal Sentencing
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