Transforming police reporting with generative AI: Insights from the Oklahoma City Police Department

Abstract

Police report writing is a critical yet time-intensive task that can detract from community engagement. Generative AI (genAI) tools, such as Axon’s Draft One, present an opportunity to enhance efficiency and accuracy in report writing by synthesizing data from body-worn cameras and officer notes into draft reports. This study explores the benefits and challenges of integrating genAI in police workflows through interviews with officers from the Oklahoma City Police Department (OCPD). Findings indicate that genAI improves report quality and reduces administrative time, allowing officers to prioritize public engagement. However, challenges persist, including ethical concerns, policy restrictions, and the risk of over-reliance on AI at the expense of traditional skills. Officers expressed cautious optimism, emphasizing the need for robust training, human oversight, and bias mitigation strategies. This study provides actionable insights for law enforcement agencies considering genAI adoption, balancing operational efficiency with ethical considerations in modern policing.

Keywords

Generative AI police report writing law enforcement technology body-worn cameras administrative efficiency community policing ethical considerations technology adoption

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