An AI model correctly predicted crimes a week before they occurred with 90% accuracy across eight US cities, the co-creator of the model said.
Ishanu Chattopadhyay, an assistant professor at the University of Chicago, told Insider he and his team created an "urban twin" to monitor crime data in Chicago, from 2014 to the end of 2016, before predicting the likelihood of certain crimes for the following weeks, with 90% accuracy within a two-block radius.
The model, which had similar results in seven other cities, focused on the types of crimes being committed and where they were occurring. The crime rate in Chicago in 2020 was 67% higher than the national average, according to data compiled by AreaVibes.
Racial bias in policing has steep economic costs and adds to inequality in areas already experiencing high levels of deprivation, according to research compiled by Econofact.