A confidential document from the gunshot-detection company ShotSpotter details the extensive role human reviewers play in checking the work of its proprietary, artificial intelligence algorithm.
CHICAGO — In more than 140 cities across the United States, ShotSpotter's artificial intelligence algorithm and intricate network of microphones evaluate hundreds of thousands of sounds a year to determine if they are gunfire, generating data now being used in criminal cases nationwide.
Marked"WARNING: CONFIDENTIAL," the 19-page operations document spells out how employees in ShotSpotter's review centers should listen to recordings and assess the algorithm's finding of likely gunfire based upon a series of factors that may require judgment calls, including whether the sound has the cadence of gunfire, whether the audio pattern looks like"a sideways Christmas tree" and if there is"100% certainty of gunfire in reviewer's mind.
Another part of the document underscores ShotSpotter's longstanding emphasis on speed and decisiveness, and its commitment to classify sounds in less than a minute and alert local police and 911 dispatchers so they can send officers to the scene. ShotSpotter's operations document, which the company argued in court for more than a year was a trade secret, was recently released from a protective order in a Chicago court case in which police and prosecutors used ShotSpotter data as evidence in charging a Chicago man with murder in 2020 for allegedly shooting a man inside his car. Michael Williams spent nearly a year in jail before a judge dismissed the case because of insufficient evidence.
ShotSpotter installed its first sensors in Redwood City, California, in 1996, and for years relied solely on local 911 dispatchers and police to review each potential gunshot until adding its own human reviewers in 2011.
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ShotSpotter document reveals key human role in gunshot techCHICAGO (AP) — In more than 140 cities across the United States, ShotSpotter’s artificial intelligence algorithm and intricate network of microphones evaluate hundreds of thousands of sounds a year to determine if they are gunfire, generating data now being used in criminal cases nationwide.
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ShotSpotter document reveals key human role in gunshot techIn more than 140 cities across the United States, ShotSpotter’s artificial intelligence algorithm and intricate network of microphones evaluate hundreds of thousands of sounds a year to determine if they are gunfire, generating data now being used in criminal cases nationwide. ShotSpotter said in a statement to the AP that the human role is a positive check on the algorithm and the “plain-language” document reflects the high standards of accuracy its reviewers must meet.
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ShotSpotter document reveals key human role in gunshot techCHICAGO (AP) — In more than 140 cities across the United States, ShotSpotter’s artificial intelligence algorithm and intricate network of microphones evaluate hundreds of thousands of sounds a year to determine if they are gunfire, generating data now being used in criminal cases nationwide.
Weiterlesen »
ShotSpotter document reveals key human role in AI gunshot techA confidential document from the gunshot-detection company ShotSpotter details the extensive role human reviewers play in checking the work of its proprietary, artificial intelligence algorithm.
Weiterlesen »
Confidential document reveals key human role in gunshot techCHICAGO (AP) — In more than 140 cities across the United States, ShotSpotter’s artificial intelligence algorithm and intricate network of microphones evaluate hundreds of thousands of sounds a year to determine if they are gunfire, generating data now being used in criminal cases nationwide.
Weiterlesen »
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