Summary
Predictive policing algorithms meant to aid law enforcement by predicting future crime show signs of biased output.
Risk domain
Ethics
SEP view
E0101: Group fairness
Lifecycle
L06: Deployment
Organisations
Chicago Police Department (deployer),
PredPol (developer)
References
1 reference
| URL | Label |
|---|---|
| https://incidentdatabase.ai/cite/54 | Predictive Policing Biases of PredPol |
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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