BiasMedium
COMPAS Algorithm Reportedly Performs Poorly in Crime Recidivism Prediction
- Occurred
- May 23, 2016
- Published
- Jun 13, 2017
- Source
- AI Incident Database
Summary
Correctional Offender Management Profiling for Alternative Sanctions (COMPAS), a recidivism risk-assessment algorithmic tool used in the judicial system to assess likelihood of defendants' recidivism, is found to be less accurate than random untrained human evaluators.
Developers
- Equivant
Deployers
- Equivant
Harmed parties
- Accused people
Classification
Category confidence: 90%
Severity confidence: 85%
Rationale: Algorithm shows disparate accuracy compared to human evaluators in criminal justice context.
Classifier: Qwen/Qwen3.5-35B-A3B-FP8