The transformer led policing matrix: A tool for grading suitability of general-purpose artificial intelligence models in policing

The Transformer-Led Policing (TLP) model, published in 2025, provided a framework for applying artificial intelligence (AI) in policing, including Generative AI (GenAI). This article introduces a matrix to support this model, providing policing with a quantitative tool that scores 12 elements required for safe AI development and implementation, including: operational validity, integration, usability, privacy, data handling, safety, stakeholder engagement, legal compliance, bias and community impact, procedural justice, ease of use, and effectiveness. By providing a means to identify strengths and weaknesses of policing applications of AI, the matrix supports informed decision-making by providing a tool to assess utility, assist project implementation and management, or act as a structured evaluation method.

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Publication Details

Journal
The Police Journal Theory Practice and Principles
Published
2026-02-27
DOI
https://doi.org/10.1177/0032258x261430216
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
0.00
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article

The transformer led policing matrix: A tool for grading suitability of general-purpose artificial intelligence models in policing

Eric Halford
The Police Journal Theory Practice and Principles
Ethics and Social Impacts of AI
article

The transformer led policing matrix: A tool for grading suitability of general-purpose artificial intelligence models in policing

Eric Halford
article en

Abstract

The Transformer-Led Policing (TLP) model, published in 2025, provided a framework for applying artificial intelligence (AI) in policing, including Generative AI (GenAI). This article introduces a matrix to support this model, providing policing with a quantitative tool that scores 12 elements required for safe AI development and implementation, including: operational validity, integration, usability, privacy, data handling, safety, stakeholder engagement, legal compliance, bias and community impact, procedural justice, ease of use, and effectiveness. By providing a means to identify strengths and weaknesses of policing applications of AI, the matrix supports informed decision-making by providing a tool to assess utility, assist project implementation and management, or act as a structured evaluation method.

The Police Journal Theory Practice and Principles
Academy of Public Administration (AZ)
Peace, Justice and strong institutions
Openalex Percentile: Top 45%
Ethics and Social Impacts of AI
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