For once, algorithms that predict crime might be used to uncover bias in policing, instead of reinforcing it.
The tool, developed by a team led by University of Chicago professor Ishanu Chattopadhyay, forecasts crime by spotting patterns amid vast amounts of public data on property crimes and crimes of violence, learning from the data as it goes.
His team’s efforts have yielded promising results in some places. The tool predicted future crimes as much as one week in advance with roughly 90% accuracy, according to the report. The danger with any kind of artificial intelligence used by law enforcement, the researchers said, lies in misinterpreting the results and “creating a harmful feedback of sending more police to areas that might already feel over-policed but under-protected.”
The model his team developed can be used to monitor police performance. “You can turn it around and audit biases,” he said, “and audit whether policies are fair as well.”
remember when the internet created a racist and sexist AI
How is it even possible to write this garbage coverage of the study, w/o referencing the radical left's push for defunding police. Well, that was intentional & well discussed w/editors. LAT's also spiked (note - this survey was in the midst of the radical attack on U.S movement
2020, LAPD stopped using a predictive-policing program..that led to heavier policing in minority areas. No wonder crime has inc. LAT's - a few mos back: 'Of killings between 1998-2020. .[of the murderers] 50% were Latino, 34% Black, 4% white, 3% other.” Nationally, per FBI:
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