Sources
Incident summary from the AI Incident Database, used under CC BY-SA 4.0.
Home/AI Incident Database/Virginia Courts’ Algorithmic Recidivism Risk Assessment Failed to Lower Incarceration Rates
Virginia Courts’ Algorithmic Recidivism Risk Assessment Failed to Lower Incarceration Rates
Virginia courts’ use of algorithmic predictions of future offending risks were found by researchers failing to reduce incarceration rates, showed racial and age disparities in risk scores and its application, and neither exacerbated or ameliorated historical racial differences in sentencing.
Contribute
Spot an error, or know a record we should add? Members can propose additions and submit corrections.