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Chronicles

The story behind the story

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US police departments are using AI software from Chicago-based Truleo and other companies to analyze millions of hours of unreviewed body-cam footage

Umar Farooq / ProPublica :

ProPublica Umar Farooq

Context & Ripple Effects

Police agencies have long added algorithmic layers to investigative data, from the NYPD's Patternizr crime-pattern system to widespread use of Clearview AI by taxpayer-funded organizations. This report places body-camera archives—previously too large for routine human review—inside that same procurement arc.

The stakes extend beyond administrative efficiency: later coverage of facial-recognition-led arrests lacking other evidence shows how an AI-generated lead can acquire outsized weight once it enters police workflows.

First-order effects

  • Departments using Truleo and similar tools can subject large backlogs of body-camera video to automated analysis, changing which interactions are surfaced for supervisory or investigative review.
  • Truleo and rival vendors gain a new public-safety software use case centered on extracting signals from agencies' existing camera archives.

Second-order effects

  • Police leaders will need to define what automated findings can trigger, who validates them, and how those decisions are documented; otherwise, high-volume outputs can outstrip meaningful human review.
  • Body-camera platforms and police-software providers face pressure to add comparable analytics, much as agencies have tested AI-generated police reports from body-camera audio.

Third-order effects

  • If adoption persists, body cameras may shift from primarily evidentiary recording devices to continuous inputs for algorithmic oversight and investigation, increasing the importance of auditability, retention rules, and due-process safeguards.
  • The governing question will move from whether agencies deploy individual AI tools to how public institutions constrain linked systems that collect, analyze, and operationalize police data.

The trend: This is part of the shift from discrete police AI tools toward integrated, data-intensive public-safety workflows that require governance across the full decision chain.

Discussion

  • @carnage4life Dare Obasanjo on x
    Despite the proliferation of cameras and other tools of mass surveillance, there's been the physical reality that it's infeasible to review all that audio or video footage. AI changes all of that. It's now possible to spy on everyone, all of the time. https://www.propublica.org/.…
  • @paulanealmooney Paula Neal Mooney on x
    Axon, the nation's largest provider of police cameras & of cloud storage for video captured, has a database of footage that has grown from ~6 terabytes in 2016 to more than 100 petabytes today. That's enough to hold more than 25million copies of “Barbie.” https://www.propublica.o…
  • r/Futurology r on reddit
    Police Departments Are Turning to AI to Sift Through Millions of Hours of Unreviewed Body-Cam Footage