Ian T. Adams, Matt Barter, Kyle McLean, Hunter M. Boehme, Irick A. Geary
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No man’s hand: artificial intelligence does not improve police report writing speed
Objectives
This study examines the potential of artificial intelligence (AI) to reduce the time police officers spend writing reports, a task that consumes a significant portion of their workday.
Methods
In a pre-registered randomized controlled trial, we test this claim within the patrol division of a medium-sized police department (n = 85) at the individual report level (n = 755). Analyses utilize mixed-effects regression accounting for the nested structure of report-writing.
Results
AI assistance did not significantly affect the duration of writing police reports. Alternative specifications beyond those specified in the pre-registration, including a difference-in-differences approach observing report duration over a full year (n = 6084), confirm the null findings are robust.
Conclusions
Our findings contradict marketing expectations for the effect of this technology, suggesting no time savings in report-writing can be expected when using AI-assisted report-writing. Several other potential effects remain possible and untested.
期刊介绍:
The Journal of Experimental Criminology focuses on high quality experimental and quasi-experimental research in the advancement of criminological theory and/or the development of evidence based crime and justice policy. The journal is also committed to the advancement of the science of systematic reviews and experimental methods in criminology and criminal justice. The journal seeks empirical papers on experimental and quasi-experimental studies, systematic reviews on substantive criminological and criminal justice issues, and methodological papers on experimentation and systematic review. The journal encourages submissions from scholars in the broad array of scientific disciplines that are concerned with criminology as well as crime and justice problems.