In a series of Webinars over the early summer we heard from a wide range of industry experts on the challenges and opportunities that AI can bring the Justice & Police Sectors. In this second part from our first webinar we hear from Dr Eric Halford, former Detective Chief Inspector and now Assistant Professor, Policing and Security Program from the Rabdan Academy on the Transformer Led Policing Model. A framework for integrating General Purpose Artificial Intelligence.

Dr Eric discusses the framework for integrating general purpose artificial intelligence (AI) in policing. Eric introduces himself as a researcher with a background in evidence-based policing and highlights his focus on studying the implementation of technology in policing. He explains the concept of general purpose AI and its potential applications in law enforcement.

He also discusses the risk levels associated with AI in policing according to the European Union’s Artificial Intelligence Act. He presents the principles outlined by the National Police Chief Council in the UK for the lawful and responsible use of AI in policing. Eric then introduces the Transformer-led policing model, which consists of three categories: device, discuss, and deploy. He explains the considerations within each category and emphasizes the importance of testing, stakeholder management, and evaluation in the successful implementation of AI in policing. The speech concludes with the need to build an evidence base and embrace general purpose AI in a consistent and empirical manner.

Takeaways

• General purpose AI has the potential to be applied in various areas of policing, from analyzing free text to understanding calls for service.
• The European Union’s Artificial Intelligence Act categorizes law enforcement as a high-risk area for AI implementation.
• The National Police Chief Council in the UK has provided principles for the lawful and responsible use of AI in policing.
• The Transformer-led policing model consists of three categories: device, discuss, and deploy, which encompass considerations for use case identification, stakeholder management, and implementation.
• Testing, stakeholder engagement, and evaluation are crucial for the successful integration of AI in policing.
• Building an evidence base and adopting a consistent and empirical approach are essential for the effective use of general purpose AI in policing.

Chapters

00:00. Introduction and Background
03:43. Understanding General Purpose AI in Policing
05:04. Risk Levels and Potential Applications
06:01. Principles for Responsible AI Use in Policing
10:49. The Transformer-led Policing Model
21:27. Building an Evidence Base for Effective AI Use

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