A new computer model uses publicly available data to predict crime accurately while revealing increased police response in wealthy neighbourhoods at the expense of less advantaged areas.

Governments all over the world have developed a great interest in exploring the advances in artificial intelligence for predicting crime. 

However, previous efforts have been controversial because AI does not account for systemic biases in police enforcement and its complex relationship with crime and society.

Social scientists have developed a new algorithm that forecasts crime by learning patterns in time and geographic locations from public data on violent and property crimes.

It has demonstrated success at predicting future crimes one week in advance with approximately 90% accuracy.

In a separate model, the team of researchers also studied the police response to crime by analyzing the number of arrests following incidents and comparing those rates among neighbourhoods with different socioeconomic statuses

They saw that crime in wealthier areas resulted in more arrests, while arrests in disadvantaged neighbourhoods dropped. Crime in poor neighbourhoods didn’t lead to more arrests, however, suggesting bias in police response and enforcement.


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“What we’re seeing is that when you stress the system, it requires more resources to arrest more people in response to crime in a wealthy area and draws police resources away from lower socioeconomic status areas,” said Ishanu Chattopadhyay, PhD.

“We created a digital twin of urban environments. If you feed it data from what happened in the past, it will tell you what’s going to happen in future. It’s not magical, there are limitations, but we validated it and it works really well,” Chattopadhyay said. 

“Now you can use this as a simulation tool to see what happens if crime goes up in one area of the city, or there is increased enforcement in another area. If you apply all these different variables, you can see how the systems evolve in response.”


Image Credits: Google Images

Sources: Breitbart, BNN Bloomberg, New Scientist

Find the blogger: @Drishti Shroff

This post is tagged under: Crime, Computer, Algorithm, Computer Algorithm, Neighbourhood, New Advancement In Technology, Artificial Intelligence For Predicting Crime, Law And Enforcement, Social Scientist, Advanced Future, Futuristic, Development In Science, Progressive AI

Disclaimer: We do not hold any right, copyright over any of the images used, these have been taken from Google. In case of credits or removal, the owner may kindly mail us.


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