FILE - Law enforcement personnel use an interactive electronic map for the ShotSpotter Dispatch program running within the Fusion Watch department at the Las Vegas Metropolitan Police Headquarters Wednesday, Jan. 13, 2021, in Las Vegas.
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.
Titled “Adopting a New York State of Mind,” it refers to New York Police Department’s request of ShotSpotter to avoid posting alerts of sounds as “probable gunfire” — only definitive classifications as gunfire or non-gunfire. ShotSpotter says it published 291,726 gunfire alerts to clients in 2021. That same year, in comments to AP appended to a previous story, ShotSpotter said more than 90% of the time its human reviewers agreed with the machine classification but the company invested in its team of reviewers “for the 10% of the time where they disagree with the machine.” ShotSpotter did not respond to questions on whether that ratio still holds true.
Paul Greene, a ShotSpotter employee who testifies frequently about the system, explained in a 2013 evidentiary hearing that staff reviewers addressed issues with a system that “has been known from time to time to give false positives” because “it doesn’t have an ear to listen.”
The bias goes deep on this one
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