Examining Implicit Bias And Procedural Justice: A Pilot Intervention Program For Balancing The Police-Civilian “Encounter Equation”

This paper investigates the critical issue of implicit bias within law enforcement, discussing its implications on policing practices and community relations. The analysis includes a review of relevant literature, assessment tools, training programs, and policy reforms aimed at mitigating implicit biases. By exploring the impact of implicit biases on decision-making processes in law enforcement, the paper proposes mitigation approaches in a pilot program to drastically reduce or eliminate factors contributing to the “entry” into the criminal justice system via police/civilian interactions, because implicit bias in the US jurisprudence system is even more prevalent, institutionalized, and detrimental (Kang, et al., 2014). Social scientists are in relative agreement that, among many factors that precipitate negative “police encounters”, implicit bias is a significant trigger. The hypothesis to be studied is the assertion that both sides of the “encounter equation” have preconceived notions regarding the other’s motive. Because one side of the equation carries mandate and authority, this paper focuses on the “decision-making” influences from the police officer’s perspective to provide recommendations to address implicit bias. This paper hypothesizes five exacerbating factors of the encounter equation: inherent bias, media portrayal, police academy training deficiencies, historical discriminatory practices, and police militarization. The analysis reviews psychological research on inherent bias, documents case studies illustrating its impact on policing, and synthesizes evidence-based strategies for mitigation. Building on this foundation, the article proposes an artificial intelligence (AI)- assisted, andrological-grounded educational plan for police officers and civilians. This plan integrates differentiated instruction, experiential learning, and action research methodology (ARM) within Work in Learning (WIL) modules, offering practical exercises designed to foster self-awareness, empathy, and behavior change to reduce implicit bias in actual policing contexts.