Cops responding to ShotSpotter's AI alerts rarely find evidence of gun crime, says Chicago watchdog
It may hurt community policing, too
Police responding to ShotSpotter's AI-generated alerts of gunfire find evidence of actual gun-related crime about one time in ten, a Chicago public watchdog has found.
The California biz uses machine-learning algorithms to determine whether loud bangs caught by microphones deployed across more than 100 US cities are gunshots or not. If a shot is identified, the location of the noise is triangulated and sent to the police as an immediate, real-time alert, and reports are later compiled for prosecutors for use in court cases.
ShotSpotter is under the microscope right now because a 65-year-old man spent almost a year behind bars awaiting trial for murder – and the primary evidence against him was a disputed ShotSpotter report of a gunshot.