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Police Departments Are Turning to AI to Sift Through Millions of Hours of Unreviewed Body-Cam Footage
Body camera video equivalent to 25 million copies of “Barbie” is collected but rarely reviewed. Some cities are looking to new technology to examine this stockpile of footage to identify problematic officers and patterns of behavior.
Dallas-based Polis Solutions has contracted with police in its hometown, as well as departments in St. Petersburg, Florida, Kinston, North Carolina, and Alliance, Nebraska, to deploy its own software, called TrustStat, to identify videos supervisors should review. “From that labeled data, you’re able to apply machine learning so that we’re able to get to predictions so we can start to isolate and figure out, well, when these kind of confluences of events happen, this actually minimizes the likelihood of this outcome,” said David Makin, who heads the lab and also serves on the Pullman Police Advisory Committee. The Pullman Police Department cited Washington State University’s analysis of 4,600 hours of video to claim that officers do not use force more often, or at higher levels, when dealing with a minority suspect, but did not provide details on the study.
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