Activities per year
Project Details
Description
This project on responsible AI in policing brings together a diverse team of researchers in Law, Computer Science, Social Innovation, and Policing, with extensive experience of theory and practice of real-world ethical approaches in sensitive contexts. The partnership with West Midlands Police and Crime Commissioner (WMPCC) presents a unique opportunity to analyse operationalisation of AI tools in policing, and the impacts of advice from its data ethics committee. A specific focus is on effects on human rights of marginalised groups, and on deploying an intersectional lens to investigate the impacts of policing AI.
The project is designed to address six specific research challenges via four work packages. We will investigate the influence of the data ethics committee upon technology design, identification of human rights concerns and the incorporation of the interests of marginalised groups. We will consider the potential of other frameworks to improve the process, and the challenges that could shape future research. Our methodology will Review, Observe, Understand and Communicate. The outcomes will not only reveal currently unknown and unqualified practices, but will employ state of art analytical methods and thus serve as a valuable test of their fitness to purpose. The project does not address ethics in the abstract, but is grounded in the real challenges of real applications of AI tools in policing. We will focus not only on outcomes but also on processes which may generate trust or fairness by exercising and displaying good governance, and by continually looking, learning, changing and improving.
A key output will be an evidence-based typology, which will have wide-ranging implications across policing. Dissemination of all results across the whole policing ecosystem will be possible through the diverse research networks of the project team, which include regulatory bodies. Our team is experienced in integrated interdisciplinary research and combines the law, computer science, criminal justice, social innovation and participatory methodology expertise needed to ensure that the research is robust, insightful and impactful. This project is deliberately ambitious and will prepare the groundwork for a full demonstrator project on responsible AI in policing and sensitive contexts.
The project is designed to address six specific research challenges via four work packages. We will investigate the influence of the data ethics committee upon technology design, identification of human rights concerns and the incorporation of the interests of marginalised groups. We will consider the potential of other frameworks to improve the process, and the challenges that could shape future research. Our methodology will Review, Observe, Understand and Communicate. The outcomes will not only reveal currently unknown and unqualified practices, but will employ state of art analytical methods and thus serve as a valuable test of their fitness to purpose. The project does not address ethics in the abstract, but is grounded in the real challenges of real applications of AI tools in policing. We will focus not only on outcomes but also on processes which may generate trust or fairness by exercising and displaying good governance, and by continually looking, learning, changing and improving.
A key output will be an evidence-based typology, which will have wide-ranging implications across policing. Dissemination of all results across the whole policing ecosystem will be possible through the diverse research networks of the project team, which include regulatory bodies. Our team is experienced in integrated interdisciplinary research and combines the law, computer science, criminal justice, social innovation and participatory methodology expertise needed to ensure that the research is robust, insightful and impactful. This project is deliberately ambitious and will prepare the groundwork for a full demonstrator project on responsible AI in policing and sensitive contexts.
Layman's description
This project on responsible AI in policing will draw on our partnership with West Midlands Police and Crime Commissioner (WMPCC) to analyse operationalisation of AI tools in policing, and the impacts of advice from its data ethics committee. It will provide evidence-based typology, which will have wide-ranging implications across policing.
Short title | BRAID Ethics |
---|---|
Status | Finished |
Effective start/end date | 1/02/24 → 31/08/24 |
Collaborative partners
- University of Northampton
- Northumbria University (lead)
- University of Glasgow (Project partner)
- University of Aberdeen (Project partner)
- West Midlands Police and Crime Commissioner (Project partner)
Keywords
- AI
- Policing
- Ethics
- Responsible AI
- Responsible Policing
Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
-
Magic in a box
Paterson-Young, C. (Author)
6 Mar 2025Activity: Academic Talks or Presentations › Keynote › Research
-
Responsible AI in Policing - Presentation of Findings to West Midlands Police and West Midlands Police and Crime Commissioner
Paterson-Young, C. (Invited speaker)
4 Dec 2024Activity: Academic Talks or Presentations › Invited talk › Research
-
BRAID Ethics Review and AI : Reflection and Learning
Paterson-Young, C. (Speaker) & Maher, M. (Speaker)
24 Jul 2024Activity: Academic Talks or Presentations › Seminar/Workshop › Research
Research output
- 3 Commissioned Report
-
BRAID Funder Report: Ethical review to support Responsible AI in Policing – A Preliminary Study of West Midlands Police's specialist data ethics review committee
Oswald, M., Paterson-Young, C., Calder, M., Maher, M. & McBride, P., 1 Aug 2024, University of Edinburgh. 9 p.Research output: Book/Report › Commissioned Report
-
Ethical review to support Responsible Artificial Intelligence (AI) in policing: A preliminary study of West Midlands Police's specialist data ethics review committee
Oswald, M., Paterson-Young, C., McBride, P., Maher, M., Calder, M., Gill, G., Tiarks, E. & Noble, W., 11 Sept 2024, Northumbria University. 106 p.Research output: Book/Report › Commissioned Report
Open AccessFile -
Executive Summary for Ethical review to support Responsible Artificial Intelligence (AI) in policing
Oswald, M., Paterson-Young, C., McBride, P., Maher, M., Calder, M., Gill, G., Tiarks, E. & Nobel, W., 11 Sept 2024, Northumbria University. 14 p.Research output: Book/Report › Commissioned Report
Open AccessFile
Press/Media
-
University building foundations for ethical Artificial Intelligence in policing
22/02/24
2 items of Media coverage
Press/Media
-
UK university to investigate AI in policing
Paterson-Young, C. & Maher, M.
7/02/24
1 item of Media coverage
Press/Media