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Reporting crime to police via human and AI live chats: the salience of procedural justice and outcome favourability
- Truvace record
- TRV-2026-2495raw data (JSON)
- Version
- v1Published
- First published
- Evidence type
- Randomized controlled trial
- Sources
- 1 sourcePeer-reviewed
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- 86ecd1c988d6…check it
As police services adopt automated systems for crime reporting, questions arise about how these technologies affect public perceptions of fairness and legitimacy. This study examines how people evaluate police–public interactions conducted via human or AI-operated live chat. In an online experiment (N = 648), participants read a simulated exchange in which a burglary was reported to either a human officer or an AI chatbot. We manipulated operator type (human vs. AI), procedural justice (fair vs. unfair), and out…
The problem
In an online experiment of 648 participants, identical police behaviour in a simulated burglary report was rated less fair and less satisfactory when delivered by an AI chatbot than by a human officer.
What this doesn’t fix
The study used simulated written exchanges in an online experiment, so participants evaluated a scenario they read rather than a burglary they reported to police.
Sources
1 on file- Police Practice and Researchdoi:10.1080/15614263.2026.2741740
Cite this record
v1Truvace Impact Record TRV-2026-2495, v1: “Reporting crime to police via human and AI live chats: the salience of procedural justice and outcome favourability.” Truvace, 2026-11-12. /record/TRV-2026-2495 (accessed on the day you copy it). sha256 86ecd1c988d69bb3…
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