Work

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

Year: 2025

Type: article

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.

Source: The Police Journal Theory Practice and Principles

DOI: 10.1177/0032258x251372357

Authors: Hazel Sayer, Tamara Polajnar, Ruth Spence

Institutions: Bournemouth University, Middlesex University London

Language: English

Topic: Ethics and Social Impacts of AI

Subfield: Safety Research

Field: Social Sciences

Domain: Social Sciences

SDG: Peace, justice, and strong institutions

Open Access status: hybrid

Estimated APC paid: $3,400