Automation and artificial intelligence in police body-worn cameras: Experimental evidence of impact on perceptions of fairness among officers

Objectives: Explore officers' perceptions of the fairness of monitoring with systematic variations in activation (manual/automatic) and auditing (on-demand/supervisor random/artificial intelligence) policy regimes for body-worn cameras (BWCs).

Authors

Ian Tyler Adams (ORCID: https://orcid.org/0000-0001-5595-8070)

Publication Details

Journal: CrimRxiv
Published: 2025-02-17
DOI: https://doi.org/10.21428/cb6ab371.1550fcf8
Primary Topic: Policing Practices and Perceptions
Type: article
Field-Weighted Citation Impact: 0.00

Controls

|||

ALL TIME

JAN

FEB

MAR

APR

MAY

JUN

JUL

AUG

SEP

OCT

article

Automation and artificial intelligence in police body-worn cameras: Experimental evidence of impact on perceptions of fairness among officers

Ian Tyler Adams

Feb 17, 2025

CrimRxiv

Policing Practices and Perceptions

article

Automation and artificial intelligence in police body-worn cameras: Experimental evidence of impact on perceptions of fairness among officers

Ian Tyler Adams

February 17, 2025article en

Abstract

CrimRxiv

Openalex Percentile: Top 64%

Policing Practices and Perceptions

DOI Open Access PDF OpenAlex

AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Automation and artificial intelligence in police body-worn cameras: Experimental evidence of impact on perceptions of fairness among officers — Ian Tyler Adams · CrimRxiv (2025) | TGRS Research Map | TGRS