A group of researchers at the University of Chicago have created an artificial intelligence algorithm that can predict crimes with up to 90% accuracy a week before they happen.
The researchers developed the model using historical crime data to predict future events in a 1,000-square-foot area. The technology has been demonstrated in eight major U.S. cities, including Chicago, Los Angeles, and Philadelphia.
Professor Chattopadhyay added that the tool reminds us of crime predictions made in the 2002 science fiction film Minority Report, based on the short story of the same anecdote written by Philip K. Dick in 1956.
A similar AI -based technology is used in Japan to inform citizen patrol routes in certain municipalities where crime is more likely in certain areas at certain times.
Various variations in technology have proven controversial, with the crime and victimization risk model implemented by the Chicago Police Department in 2012 found to be flawed due to the use of historically biased data.
These efforts also rely on a seismic approach, which shows that crime comes from “hotspots” that shine in the surrounding areas. On the other hand, Chicago -based researchers have shaped the complex social environment of cities and the relationship between crime and crime. impact of policing.
“Spatial models ignore the natural topology of the city,” said Max Palfskem, professor of sociology at the University of Chicago, who was involved in the research.
“Transportation networks respect streets, lanes, trains and bus lines, and respect communication networks and places with similar socioeconomic backgrounds. Our model allows these connections to be explored. ”
Source: independent
Source: Arabic RT
