Police Are Using Machine-Learning To Flag Officers As Potential Risks

A police department in North Carolina is using an algorithm to prevent police brutality.   The Charlotte-Mecklenburg Police Department is developing a machine learning system that will flag police officers who are at risk for adverse events — “such as deadly shootings or instances of racial profiling,” the research paper notes. The system — called the Early Intervention System — looks at police officers’ characteristics as well as situational and neighborhood factors as predictive aspects for said adverse events.  The research paper notes that, as it stands, police departments lean on “expert intuition” to determine if a police officer may be a danger to the public, citing “limited resources” as a reason why there isn’t a better intervention system.  This data-driven solution also hopes to prevent police violence by pinpointing an…


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