The Conceptual Dimensions, Practical Challenges, and Developmental Pathways of AI Literacy for Police Cadets

Abstract

In response to the growing demands placed on law enforcement personnel by the transformation toward intelligent policing, this study proposes a conceptual framework of artificial intelligence (AI) literacy for Police cadets, encompassing three interrelated dimensions: technological understanding, data-driven thinking, and value-based ethics. At present, police education faces several structural challenges, including a pronounced instrumental orientation toward technology, a disconnect between general education and professional training, and a lack of contextualized learning environments. To address these issues, this study advances a set of developmental pathways, including the construction of interdisciplinary integrated curricula, the adoption of inquiry-based learning grounded in authentic policing cases, and the establishment of mechanisms that promote the internalization of ethical norms through collaboration between police academies and operational units. By reshaping educational models, the study seeks to enhance the professional adaptability of future law enforcement officers and strengthen the legitimacy of policing practices in the digital era.