Responsible AI in policing
Authors: 
Helena Webb, Nicholas Fitzroy-Dale, Saamiya Aqeel, Anna Maria Piskopani, Quentin Stafford-Fraser, Christos Nikolaou, Liz Dowthwaite, Derek McAuley, Christoper HargreavesAuthors Info & Claims
Article No.: 35, Pages 1 - 5
Abstract
The deployment of AI-driven technologies in policing is often welcomed as an opportunity to enhance efficiency in dealing with crime. At the same time, however, these technologies pose risks around data bias, data protection, accuracy and privacy. In addition, socio-organisational factors present challenges to their deployment. In this short paper we provide an overview of the opportunities and risks associated with AI in policing, focusing on current developments in the UK. We discuss what is necessary for a responsible approach to deployment and highlight some of our own project work in this context. The Trustworthy and Useful Tools for Mobile Phone Extraction project shows that tools for the analysis of mobile phone data can include AI-driven features that are both useful and trustworthy. However, tools alone cannot address all the tensions and constraints that police work under. Therefore, an essential component of responsibility is to avoid overstating what AI can achieve.
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Published In
September 2024
335 pages
ISBN:9798400709890
DOI:10.1145/3686038
Copyright © 2024 Owner/Author.
This work is licensed under a Creative Commons Attribution International 4.0 License.
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 16 September 2024
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- Extended-abstract
- Research
- Refereed limited
Funding Sources
- UKRI Trustworthy Autonomous Systems Hub
Conference
TAS '24
TAS '24: Second International Symposium on Trustworthy Autonomous Systems
September 16 - 18, 2024
TX, Austin, USA
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