AIIC AI Intelligence Centre

SOURCE-LINKED INTELLIGENCE

Virginia Courts’ Algorithmic Recidivism Risk Assessment Failed to Lower Incarceration Rates

AI Incident Database · article · Nov 19, 2019 · UTC

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.

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recordType
incident-report
evidenceStatus
reported
region
Global

Reported occurrence date: 2003-07-01T00:00:00.000Z

Evidence & attribution

AI Incident Database, Responsible AI Collaborative; McGregor (2021), Preventing Repeated Real World AI Failures by Cataloging Incidents. Incident-specific contributor credits are available at each citation link. Metadata adapted; article text excluded.

License: CC BY-SA 4.0

First collected: 2026-09-19T22:50:59.123Z. This is not the publication date.

Observed changes

AIIC observation times, not verified publisher revision times. Up to eight recent revisions.

2026-09-20T23:22:28.549Z

  • publishedAt: Not provided → 2019-11-19T00:00:00.000Z