The concept of predictive policing software revolves around the “broken windows” theory. As a result, crime-fighting artificial intelligence (AI) patrols hotspots with high rates of minor crime like theft and vandalism. In simple terms, the smart tech adapts existing AI models using historical crime data, including epidemiological and geological models. For example, PredPol - developed by the LAPD and UCLA in 2008 - predicts where black window crimes will take place by using recent police reports. PredPol technology is also able to target patrols down to a 500 square foot area.
Furthermore, law enforcement AI comes in the form of facial recognition, license plate readers, autonomous AI, and many other forms of mass surveillance. Ford’s self-driving police car - whose patent application was filed in 2018 - was designed to spot traffic violations. Depending on how the civilian reacts to a robotic cop car, the self-driving law enforcement machine can also pursue the perpetrator until they pull over, identify the vehicle and driver, and even issue a warning or ticket.\
Crime-stopping artificial intelligence is spreading quickly. Keep reading for a better understanding on how predictive policing works.
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