RUDI: An evidence-based police-centric guide for approaching the development of algorithmic models in policing.

Abstract

Police are increasingly adopting or considering machine learning algorithms (MLAs) to enhance their processes, appealing for their ability to process large volumes of information and predictive capabilities. Lack of national guidance on developing and implementing algorithms means police forge ahead in an exploratory manner. To address this, we developed a practical police-centric framework and guide: RUDI (Rationale, Unification, Development, Implementation), a framework designed to mitigate concerns raised regarding the use of algorithms in policing. This report outlines our work with two police forces to develop RUDI, highlighting the challenges of algorithmic policing and how RUDI can mitigate these concerns.