On March 29 at 2:36 a.m., police in Chicago were notified by a system called ShotSpotter that eight gun shots had been fired in the Little Village neighborhood.<\/p>\n
Officers quickly arrived at the scene, and within five minutes of the initial alert one of them shot and killed 13-year-old\u00a0Adam Toledo.<\/p>\n
Critics of police tactics are hopeful that last week\u2019s release of the body camera video will bring high-profile scrutiny of the technology that brought cops to Toledo, and of predictive policing more broadly.<\/p>\n
\u201cPeople are just now becoming aware of and paying attention to [ShotSpotter],\u201d said Freddy Martinez, a policy analyst at Open the Government who studies police surveillance. \u201cIt\u2019s kind of like a watershed moment.\u201d<\/p>\n
ShotSpotter is an acoustic gunshot detection system that uses a series of microphones and sensors. The sounds are fed through a verification process that involves both artificial intelligence and human review and takes less than 60 seconds, according to the manufacturer.<\/p>\n
The company, which launched in 1996, works with police departments in more than 110 U.S. cities and a handful of police forces overseas.<\/p>\n
Sam Klepper, vice president of marketing and product strategy at ShotSpotter, told The Hill that the technology is \u201cdesigned to get police to a precise location very rapidly to aid victims, collect evidence and in some cases catch the perpetrator who is still at the crime scene.\u201d<\/p>\n","protected":false},"excerpt":{"rendered":"
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