The Role of Body-Worn Cameras in Modern Policing

Body-worn cameras (BWCs) have become one of the most commonly used technologies in policing in recent years, implemented as a tool to raise police transparency and accountability, and enhance the relationship between police officers and the communities in which they operate. In a world where law enforcement agencies are not coping with increased public scrutiny, BWCs offer a valuable resource, both in recording an encounter and in reforming based on research-based practice. The increasing use of artificial intelligence in BWC systems has also enhanced its performance to the level where it can analyze vast volumes of footage, extract patterns in behaviour, and assess the performance of individual officers more effectively than ever before. Although these have been made, there has still been discussion on the effectiveness, equity, and overall effects of BWCs on the culture and efficiency of policing. This annotated bibliography explores the effect of BWCs on monitoring fairness, AI-driven analysis, police efficiency, and citizen-police interactions to show how new research informs our understanding of how technology is changing its role in modern law enforcement.

Barbosa, D. A., Fetzer, T., Soto-Vieira, C., & Souza, P. C. (2025). Monitoring technology: The impact of body-worn cameras on citizen-police interactions. Review of Economics and Statistics, 1–42. https://wrap.warwick.ac.uk/id/eprint/191752/1/WRAP-Monitoring-technology-impact-body-worn-25.pdf

Barbosa et al. (2025) provide a comprehensive experimental analysis of the effects of body-worn cameras on police-citizen interactions. Using randomized BWC deployment, the study assesses behavioral changes during police dispatches. Barbosa et al. report substantial reductions in adverse outcomes, including a 61.2% decrease in police use of force and a 47% reduction in negative interactions such as arrests and handcuffing. BWCs also improved documentation quality, with a 5.9% reduction in incomplete reports and a 69% increase in reported domestic violence incidents. These findings suggest that BWCs not only facilitate de-escalation but also enhance the accuracy and completeness of police records. By comparing their results with earlier experimental designs, the authors demonstrate that previous studies may have underestimated BWC effectiveness. The research contributes significantly to the literature by providing strong evidence that monitoring technologies can positively transform frontline policing practices and accountability.

Adams, I. T. (2025). Automation and artificial intelligence in police body-worn cameras: Experimental evidence of impact on perceptions of fairness among officers. Journal of Criminal Justice, 97, 102373. https://doi.org/10.1016/j.jcrimjus.2025.102373

Adams (2025) examines how different body-worn camera supervision and activation policies influence officers’ perceptions of procedural fairness. Using a 2 × 3 survey experiment involving 258 police officers, the study manipulates levels of BWC activation and auditing, including automated and AI-based systems. The findings indicate that automatic activation and AI-driven auditing significantly reduce perceptions of procedural fairness, largely because these systems limit officers’ sense of control. Perceptions of unfairness were strongest when both activation and review of footage were fully automated and removed from direct supervisory oversight. This research highlights the importance of human factors in successful BWC implementation, demonstrating that even well-designed technological policies may fail if officers perceive them as intrusive or unfair. Adams contributes to the broader criminological literature by showing that surveillance technologies affect not only accountability outcomes but also officer morale, attitudes, and cooperation. For agencies adopting AI-enhanced BWCs, the study underscores the need to address officer perceptions to ensure program acceptance and reduce resistance to new technological practices.

Srbinovska, A., Srbinovska, A., Senthil, V., Martin, A., McCluskey, J., Bateman, J., & Fokoué, E. (2025). Towards AI-Driven Policing: Interdisciplinary Knowledge Discovery from Police Body-Worn Camera Footage. arXiv:2504.20007. https://arxiv.org/pdf/2504.20007

Srbinovska et al. (2025) present an interdisciplinary framework for analyzing police body-worn camera footage using artificial intelligence, multimodal processing, and machine learning techniques. The study aims to improve the evaluation of police–civilian interactions by identifying and categorizing behaviors related to respect, escalation, and de-escalation. Srbinovska et al. integrate image analysis, audio processing, natural language processing, and speaker separation to produce structured summaries of complex interactions. Their methodology includes large language models, transcription pipeline evaluation, and cross-modal alignment techniques. This approach demonstrates how unstructured BWC data can be transformed into actionable insights for training, accountability, and internal assessment. Although the article is published as an open-access preprint, its detailed technical framework, rigorous experimentation, and interdisciplinary authorship support its credibility. The article is particularly relevant because it illustrates the shift from BWCs as passive recording devices to active analytical systems that support oversight, behavioral trend analysis, and evidence review, thereby expanding the practical utility of BWCs in modern policing.

Alda, E., & Dammert, L. (2025). The effects of body-worn cameras on police efficiency: A study of local police agencies in the United States. International Criminal Justice Review, 35(2), 142–163. https://doi.org/10.1177/10575677241229672

Alda and Dammert (2025) focus on the role of body-worn cameras on organizational efficiency of the police, a little explored outcome of BWC research. Whereas most previous literature has focused on the behavioural outcomes, namely the use of complaints or force, this study assesses whether BWCs lead to improvements in internal performance and resource utilization. The authors compile a new dataset for inputs, outputs, and technology adoptions of agencies. Using a two-stage empirical approach, they first estimate efficiency scores on the orders of magnitude of the efficiency of the BWC by means of a robust order-m efficiency model and then apply a matching estimator and instrumental variable analysis to isolate the effects of BWCs. Results show that BWCs boost police efficiency by four to six percentage points, suggesting some significant gains in productivity and cost effectiveness. The variety of estimation models, as well as tight controls, adds documentary seriousness to the plaintiveness of the findings. The research is compelling evidence that BWCs create organizational benefits aside from accountability improvements. This source is particularly valuable because it has brought to attention long-term institutional advantages associated with BWC adoption, which makes it relevant to issues on economic and administrative aspects of emerging policing technologies. It adds to the Botton-Basson Centres for Disease Control and Prevention (CDC) Literature on the BWC by showing how they could help improve agency operations while supporting more general reforms.

Conclusion

Collectively, these four sources demonstrate that body-worn cameras influence policing across multiple dimensions, including officer perceptions, AI-supported analysis, organizational efficiency, and police–citizen interactions. Adams highlights internal fairness concerns that may undermine implementation, while Srbinovska et al. show how advanced analytics can transform BWC footage into a powerful tool for training and oversight. Alda and Dammert provide evidence of measurable efficiency gains, and Barbosa et al. offer strong empirical support for reductions in use of force and improvements in reporting quality. Collectively, this literature underscores the complex and evolving role of BWCs in modern law enforcement, revealing both their potential benefits and the challenges that must be addressed to ensure effective and equitable implementation.