Exploring the Potential for Educational Anti‐Racism and Automated Decision‐Making Theories to Bolster the Efficacy of Using Body‐Worn Cameras to Mitigate Racially Biased Police Behavior

ABSTRACT Despite the numerous intervention efforts that have been made both at the federal and state levels, racially biased policing remains a significant issue that disproportionately affects people of color. One of the most used intervention strategies has been associated with the implementation of body‐worn cameras by police. When initially implemented, it was anticipated that the accountability and transparency associated with their use would have significantly curtailed instances of racially biased policing. However, recent research has not shown consistently positive results that were expected. To improve the effectiveness of body‐worn camera usage in racially biased policing intervention, a conceptual model is proposed which is informed by research‐based anti‐racism educational theories that have been shown to stem racial bias in schools. Further supported by criminal justice automated decision‐making research, the proposed model recommends a conceptual real‐time auditing framework that, if integrated into body‐worn camera technology, can more effectively resist racially biased policing in the United States.