AIIC AI Intelligence Centre

SOURCE-LINKED INTELLIGENCE

Chicago Police's Strategic Subject List Reportedly Biased Along Racial Lines

AI Incident Database · article · Feb 4, 2016 · UTC

The Chicago Police Department reportedly used person-based predictive policing models, including the Strategic Subject List and Crime and Victimization Risk Model, to assign violence-risk scores to hundreds of thousands of residents. Official and media reports alleged that the program gave police a mathematically fragile basis for treating heavily policed residents as future victims or suspects, with Black Chicago residents especially exposed to the consequences of that scoring.

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recordType
incident-report
evidenceStatus
reported
region
Global

Reported occurrence date: 2012-08-01T00:00:00.000Z

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 provided2016-02-04T00:00:00.000Z