Lesson 1220 of 1550
AI Predictive Policing: Feedback Loop Risk
Why predictive-policing AI keeps reinforcing the same enforcement disparities.
Lesson map
What this lesson covers
Learning path
The main moves in order
- 1The premise
- 2feedback loop
- 3selection bias
- 4deployment
Concept cluster
Terms to connect while reading
Section 1
The premise
Predictive-policing models trained on arrest data send more patrols to historically over-policed areas, generating more arrests that confirm the model.
What AI does well here
- Map deployment density by district
- Compare arrest data to victimization surveys
- Surface counterfactual deployment scenarios
What AI cannot do
- Predict who will commit a crime
- Replace community policing strategy
- Settle the validity of crime statistics
Key terms in this lesson
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