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Improving Police Behavior through Artificial Intelligence: Pre-Registered Experimental Results in Two Large US Agencies

January 2024 CrimRxiv

Ian T. Adams , Kyle McLean , Geoff Alpert

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Abstract

Police body-worn cameras (BWCs) create huge reservoirs of data showing police behavior, but only a small percentage of this information is ever reviewed due to the demands of human-led review and auditing of footage. One potential solution to the time demand is the use of artificial intelligence (AI) tools to automate this task, with the promise that this information can effectively shape police behavior. In two pre-registered, randomized controlled trials in two large US police agencies, we find mixed support for changes in officer behavior when using AI-led auditing. Specifically, officers in an agency under consent decree significantly reduced levels of substandard professionalism, while officers in an agency not facing those pressures significantly increased the number of highly professional public interactions. Results suggest that AI-led auditing of police BWC footage can shape officer conduct.

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Citation Information

Citations: 9 (as of June 2026)

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APA

Ian T. Adams, Kyle McLean, Geoff Alpert (2024). Improving Police Behavior through Artificial Intelligence: Pre-Registered Experimental Results in Two Large US Agencies. CrimRxiv. https://doi.org/10.21428/cb6ab371.160e914f

BibTeX 
@article{adams2024,
  title   = {Improving Police Behavior through Artificial Intelligence: Pre-Registered Experimental Results in Two Large US Agencies},
  author  = {Ian T. Adams and Kyle McLean and Geoff Alpert},
  journal = {CrimRxiv},
  year    = {2024},
  doi     = {10.21428/cb6ab371.160e914f},
  url     = {https://doi.org/10.21428/cb6ab371.160e914f}
}

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