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Predictive policing is the usage of mathematics, predictive analytics, and other analytical techniques in law enforcement to identify potential criminal activity. [1] [2] [3] A report published by the RAND Corporation identified four general categories predictive policing methods fall into: methods for predicting crimes, methods for predicting offenders, methods for predicting perpetrators ...
A group of social scientists out of Chicago has developed a machine learning model it says not only predicts crime a week in advance, but has also uncovered biased policing in eight major U.S ...
PredPol has produced a patented algorithm, which is based on a model used to predict earthquake aftershocks. As of 2020, PredPol's algorithm is the most commonly used predictive policing algorithm in the U.S. [ 3 ] [ 4 ] Police departments that use PredPol are given printouts of jurisdiction maps that denote areas where crime has been predicted ...
This limits the public’s access when attempting to evaluate potential bias in the predictive models used. [17] Additionally, predicting locations and individuals associated with crime is seen by some as fundamentally unconstitutional who argue that it is contrary to the principle that everyone is presumed innocent until proven guilty. [17]
AI technology is not new to police agencies, which have adopted algorithmic tools to read license plates, recognize suspects’ faces, detect gunshot sounds and predict where crimes might occur.
Some worry the artificial intelligence technology could worsen issues like bias or prejudice that may be built into the systems. Police are adopting AI into crime report writing, but do the perks ...
Criminal Reduction Utilising Statistical History (CRUSH) is an IBM predictive analytics system that attempts to predict the location of future crimes. [1] It was developed as part of the Blue CRUSH program in conjunction with Memphis Police Department and the University of Memphis Criminology and Research department. [2]
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