Required readings on AI applications across different domains
Posts for: #Criminal-Justice
3.1 Predictive Policing & Spatial-Temporal Risk Loops
Examining PredPol (Geolitica), historical arrest feedback loops, and mathematical distortions in urban crime prediction.
3.2 Facial Recognition in Law Enforcement
Examining deep learning face matchers, Clearview AI scraped datasets, and the systemic replication of demographic error rates.
3.3 Risk Assessment at Sentencing (COMPAS)
Examining the COMPAS recidivism risk score, ProPublica’s mathematical bias investigation, and the fundamental incompatibility of algorithmic fairness criteria.
3.5 Automated License Plate Readers (ALPR)
Examining Flock Safety and Vigilant Solutions networks, vehicle dragnets, mass municipal surveillance, and tracking vectors in post-Roe legal landscapes.