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"The New Inquiry is pleased to announce the launch of White Collar Crime Risk Zones, a predictive policing application that targets white collar crime." > White Collar Crime Risk Zones uses machine learning to predict where > financial crimes will happen across the U.S. The system was trained on > incidents of financial malfeasance from 1964 to the present day, > collected from the Financial Industry Regulatory Authority (FINRA), a > non-governmental organization that regulates financial firms. > > The system uses industry-standard predictive policing methodologies, > including Risk Terrain Modeling and geospatial feature predictors, > which enables the tool to predict financial crime at the > city-block-level with an accuracy of 90.12%. > > Predictive policing apps are designed and deployed to target so-called > “street” crime, reinforcing and accelerating destructive policing > practices that disproportionately target impoverished communities of > color. > > Unlike typical predictive policing apps which criminalize poverty, > White Collar Crime Risk Zones criminalizes wealth. > > To learn more about our technical methodology, read our white paper. > > https://thenewinquiry.com/white-collar-crime-risk-zones/ >
