Skip to main content

Research Repository

Advanced Search

‘To whom am I speaking?’; Public responses to crime reporting via live chat with human versus AI police operators

Bradford, Ben; Kyprianides, Arabella; Andrews, Will; Aston, Elizabeth; Clayton, Estelle; O’Neill, Megan; Wells, Helen

Authors

Ben Bradford

Arabella Kyprianides

Will Andrews

Elizabeth Aston

Estelle Clayton

Megan O’Neill



Abstract

Driven by social and technological change and the imperative to enhance efficiency, police have in recent years adopted various technologies to transform their interactions with the public. In the UK, these initiatives often fall under ‘transformation’ agendas, promoting ‘channel choice’ strategies to facilitate public interactions through various technologically mediated platforms, such as reporting crimes online using form-based or chat functions. Artificial Intelligence already plays a role in some of these interactions, which is likely only to increase in the future. In this study we examine preferences and perceptions in online crime reporting. Participants read a fictitious ‘chat’ between a victim of crime and a police operator identified as either a human or a chatbot. Although the chats were identical, we find a consistent preference for human operators over chatbots across all scenarios. Human operators were thought to provide clearer explanations, although there were no significant differences in judgements of interpersonal treatment or decision neutrality between human and chatbot operators. Participants also responded more positively to the process when (a) the crime involved was less serious and (b) when the outcome was active (police attendance) rather than passive (simple recording). Our findings underscore the importance of procedural justice and communication clarity in online crime reporting systems – and perhaps of human interaction when reporting crimes.

Citation

Bradford, B., Kyprianides, A., Andrews, W., Aston, E., Clayton, E., O’Neill, M., & Wells, H. (in press). ‘To whom am I speaking?’; Public responses to crime reporting via live chat with human versus AI police operators. Policing and Society, 1-17. https://doi.org/10.1080/10439463.2025.2453437

Journal Article Type Article
Acceptance Date Jan 9, 2025
Online Publication Date Jan 19, 2025
Deposit Date Jan 27, 2025
Journal Policing and Society
Print ISSN 1043-9463
Electronic ISSN 1477-2728
Publisher Taylor and Francis Group
Peer Reviewed Peer Reviewed
Pages 1-17
DOI https://doi.org/10.1080/10439463.2025.2453437
Public URL https://keele-repository.worktribe.com/output/1052171
Publisher URL https://www.tandfonline.com/doi/full/10.1080/10439463.2025.2453437
Additional Information Peer Review Statement: The publishing and review policy for this title is described in its Aims & Scope.; Aim & Scope: http://www.tandfonline.com/action/journalInformation?show=aimsScope&journalCode=gpas20; Received: 2024-06-25; Accepted: 2025-01-09; Published: 2025-01-19