BiasHigh
Chicago Police's Strategic Subject List Reportedly Biased Along Racial Lines
- Occurred
- Aug 1, 2012
- Published
- Aug 21, 2017
- Source
- AI Incident Database
Summary
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.
Developers
- Chicago Police Department
Deployers
- Chicago Police Department
Harmed parties
- Minority groups
- General public of Chicago
- General public
- Economically vulnerable communities
- communities of color
- Black people
- Black Chicago residents
Classification
Category confidence: 95%
Severity confidence: 90%
Rationale: Algorithmic bias in predictive policing targeting communities of color constitutes significant harm and potential civil rights violations.
Classifier: Qwen/Qwen3.5-35B-A3B-FP8