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How AI-powered Tech Landed Man In Jail With Scant Evidence
Source: Associated Press
How AI-powered Tech Landed Man In Jail With Scant Evidence
By GARANCE BURKE, MARTHA MENDOZA, JULIET LINDERMAN and MICHAEL TARM
August 19, 2021
-snip-
Williams was jailed last August, accused of murdering a young man from the neighborhood who asked him for a ride during a night of unrest over police brutality in May. But the key evidence against Williams didn’t come from an eyewitness or an informant; it came from a clip of noiseless security video showing a car driving through an intersection, and a loud bang picked up by a network of surveillance microphones. Prosecutors said technology powered by a secret algorithm that analyzed noises detected by the sensors indicated Williams shot and killed the man.
“I kept trying to figure out, how can they get away with using the technology like that against me?” said Williams, speaking publicly for the first time about his ordeal. “That’s not fair.”
Williams sat behind bars for nearly a year before a judge dismissed the case against him last month at the request of prosecutors, who said they had insufficient evidence.
Williams’ experience highlights the real-world impacts of society’s growing reliance on algorithms to help make consequential decisions about many aspects of public life. Nowhere is this more apparent than in law enforcement, which has turned to technology companies like gunshot detection firm ShotSpotter to battle crime. ShotSpotter evidence has increasingly been admitted in court cases around the country, now totaling some 200. ShotSpotter’s website says it’s “a leader in precision policing technology solutions” that helps stop gun violence by using “sensors, algorithms and artificial intelligence” to classify 14 million sounds in its proprietary database as gunshots or something else.
But an Associated Press investigation, based on a review of thousands of internal documents, emails, presentations and confidential contracts, along with interviews with dozens of public defenders in communities where ShotSpotter has been deployed, has identified a number of serious flaws in using ShotSpotter as evidentiary support for prosecutors.
-snip-
By GARANCE BURKE, MARTHA MENDOZA, JULIET LINDERMAN and MICHAEL TARM
August 19, 2021
-snip-
Williams was jailed last August, accused of murdering a young man from the neighborhood who asked him for a ride during a night of unrest over police brutality in May. But the key evidence against Williams didn’t come from an eyewitness or an informant; it came from a clip of noiseless security video showing a car driving through an intersection, and a loud bang picked up by a network of surveillance microphones. Prosecutors said technology powered by a secret algorithm that analyzed noises detected by the sensors indicated Williams shot and killed the man.
“I kept trying to figure out, how can they get away with using the technology like that against me?” said Williams, speaking publicly for the first time about his ordeal. “That’s not fair.”
Williams sat behind bars for nearly a year before a judge dismissed the case against him last month at the request of prosecutors, who said they had insufficient evidence.
Williams’ experience highlights the real-world impacts of society’s growing reliance on algorithms to help make consequential decisions about many aspects of public life. Nowhere is this more apparent than in law enforcement, which has turned to technology companies like gunshot detection firm ShotSpotter to battle crime. ShotSpotter evidence has increasingly been admitted in court cases around the country, now totaling some 200. ShotSpotter’s website says it’s “a leader in precision policing technology solutions” that helps stop gun violence by using “sensors, algorithms and artificial intelligence” to classify 14 million sounds in its proprietary database as gunshots or something else.
But an Associated Press investigation, based on a review of thousands of internal documents, emails, presentations and confidential contracts, along with interviews with dozens of public defenders in communities where ShotSpotter has been deployed, has identified a number of serious flaws in using ShotSpotter as evidentiary support for prosecutors.
-snip-
Read more: https://apnews.com/article/artificial-intelligence-algorithm-technology-police-crime-7e3345485aa668c97606d4b54f9b6220
Michael Williams sits for a portrait in his South Side Chicago home Tuesday, July 27, 2021. Williams was behind bars for nearly a year before a judge dismissed the murder case against him in July at the request of prosecutors, who said they had insufficient evidence. (AP Photo/Charles Rex Arbogast)
ShotSpotter equipment overlooks the intersection of South Stony Island Avenue and East 63rd Street in Chicago on Tuesday, Aug. 10, 2021. An Associated Press investigation, based on a review of thousands of internal documents, emails, presentations and confidential contracts, along with interviews with dozens of public defenders in communities where ShotSpotter has been deployed, has identified a number of serious flaws in using ShotSpotter as evidentiary support for prosecutions. (AP Photo/Charles Rex Arbogast)
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