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AI · April 25, 2017

White collar crime predictor

A machine learning system that predicts where white collar crimes will occur throughout the US.

White collar crime predictor launched on April 25, 2017 with 14 votes, #743 of 3,007 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 9 years on.

In plain words

White Collar Crime Risk Zones is a machine learning system designed to predict where financial crimes are likely to occur across the United States. The tool uses predictive algorithms to identify geographic areas with higher risk of white collar crime. It was created for law enforcement and crime prevention professionals seeking data-driven insights into crime patterns and trends. The system provides a methodology-based approach to understanding financial crime distribution at a national level.

written from the facts on this page · September 2026

From the sources

White Collar Crime Risk Zones is a predictive policing system that uses machine learning to predict where financial crime is most likely to occur. --> White Collar Crime Risk Zones uses machine learning to predict where financial crimes are mostly likely to occur across the US. To learn about our methodology, read our white paper . By Brian Clifton , Sam Lavigne and Francis Tseng for The New Inquiry Magazine , Vol. 59: ABOLISHfrom whitecollar.thenewinquiry.com

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