Work

Artificial intelligence in police research: a preliminary examination of feasibility and replication

Year: 2026

Type: article

Abstract: Objectives This manuscript tests whether artificial intelligence (AI) review of body-worn camera footage replicates the findings of a randomized-controlled trial of police de-escalation training using systematic social observation (SSO). Methods Body-worn camera video that was previously analyzed using SSO was subjected to review by an AI program. The study then replicates the analysis of the randomized-controlled trial using outcomes generated by AI. The results are compared to those of the original study. Results All five measures produced by the AI correlated with at least one SSO measure, though several SSO measures appeared completely unrelated to any measure produced by AI. The analysis of treatment effects by AI reaches the same conclusion as the original study. Conclusions SSO provides greater nuance to understanding police interactions but is weakened by its time-consuming and expensive nature. AI provides a promising avenue for conducting similar analyses more quickly and efficiently.

Source: Journal of Experimental Criminology

DOI: 10.1007/s11292-026-09754-4

Authors: Kyle McLean, Jeffrey Rojek, Justin Nix

Institutions: Clemson University, Michigan State University, University of Nebraska at Omaha

Language: English

Topic: Policing Practices and Perceptions

Subfield: Political Science and International Relations

Field: Social Sciences

Domain: Social Sciences

SDG: Peace, justice, and strong institutions

Open Access status: hybrid

Estimated APC paid: $3,090