Putting Police Body-Worn Camera Footage to Work:  A Civil Liberties Evaluation of Truleo’s AI Analytics Platform

41 Pages Posted: 13 Jan 2025

See all articles by Farhang Heydari

Farhang Heydari

Vanderbilt Law School

Max Isaacs

New York University School of Law

Katie Kinsey

NYU Law

Barry Friedman

New York University School of Law

Christopher Slobogin

Vanderbilt University - Law School

Alissa Heydari

Vanderbilt University - Vanderbilt Law School

Date Written: November 21, 2024

Abstract

This report summarizes findings from a civil liberties evaluation of Truleo, an AI-powered analytics platform designed to automate the review of police body-worn camera (BWC) footage. It includes a summary of how Truleo’s platform works, policy choices made by the company, and our assessment of safeguards and risks of the platform from a civil liberties perspective. The report also offers a series of recommendations for policymakers considering the adoption of Truleo or similar technologies. These include the necessity for independent testing of claimed benefits, democratic authorization for deployment, and ongoing transparency and public input around the platform's design and operation. Importantly, the report argues that BWC footage should be treated as “civic data” owned by the public, not the police, to enable wider access and use for purposes such as research, oversight, and the exploration of alternative public safety approaches.

Generalizing beyond Truleo, we note that despite their cost, explosive growth, and the incredible amount of personal data they capture, BWCs are significantly underregulated by law, with many critical policy choices left to the law enforcement agencies that use the technology. As a result, the use of the technology has shifted away from its original impetus—to improve outcomes for members of the public interacting with the police and to provide transparency and accountability when things went wrong—and increasingly toward an investigative tool. But we view BWC as the largest collection of data on policing in existence, and one that has been woefully underutilized as a tool for evaluating and improving policing, thus leaving much of the value of our nation’s investment in BWCs untapped. Given this gap, there is great potential in AI technologies, like Truleo, that can rebalance the scales by automating the review of this footage. Although we see great potential in a platform like Truleo’s, we worry that its full potential will never be achieved so long as police retain sole control of BWC footage. Accordingly, we emphasize the need for proactive policymaking by legislators to ensure that emerging AI analytics technologies serve the public interest and help realize the full potential of the significant public investment in BWCs.

Suggested Citation

Heydari, Farhang and Isaacs, Max and Kinsey, Katie and Friedman, Barry and Slobogin, Christopher and Heydari, Alissa, Putting Police Body-Worn Camera Footage to Work:  A Civil Liberties Evaluation of Truleo’s AI Analytics Platform (November 21, 2024). Available at SSRN: https://ssrn.com/abstract=5030758 or http://dx.doi.org/10.2139/ssrn.5030758

Farhang Heydari (Contact Author)

Vanderbilt Law School ( email )

131 21st Avenue South
Nashville, TN 37203
United States

Max Isaacs

New York University School of Law ( email )

Katie Kinsey

NYU Law

Barry Friedman

New York University School of Law ( email )

40 Washington Square South
Room 317
New York, NY 10012-1099
United States
212-998-6293 (Phone)
212-995-4030 (Fax)

HOME PAGE: http://rb.gy/crghq1

Christopher Slobogin

Vanderbilt University - Law School ( email )

131 21st Avenue South
Nashville, TN 37203-1181
United States

Alissa Heydari

Vanderbilt University - Vanderbilt Law School ( email )

131 21st Avenue South
Nashville, TN 37203
United States
5107035924 (Phone)

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