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Chicago applies predictive analytics to rein in crime

May 10, 2017, 7:47 AM EDT
(Source: Tripp/flickr)
(Source: Tripp/flickr)

The police in the U.S. city of Chicago, where violent crimes surged to 19-year high in 2016, are resorting to machine learning and predictive algorithm to curb gun and gang violence.

For the first time in the world, the city is using big data technology integration that helps predict when and where a crime might take place, writes the BBC. The system features a network of various sensor inputs, cameras, gunshot detection and others that can detect trends and patterns through predictive analytics.

Chicago Police Department prepares a list of people who are most likely to shoot or get shot, something that concerns civil rights activist for its potential to breach privacy, notes The New York Times.

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