Northampton Electronic Collection of Theses and Research

Predictive policing in 2025: A scenario

Macnish, K., Wright, D. and Jiya, T. (2020) Predictive policing in 2025: A scenario. In: Jahankhani,, H., Akhgar, B., Cochrane, P. and Dastbaz, M. (eds.) Policing in the Era of AI and Smart Societies :. Springer Nature Switzerland AG. pp. 199-215.

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Information
Abstract:
Law enforcement authorities (LEAs) have begun using artificial intelligence and predictive policing applications that are likely to raise ethical, data protection, social, political and economic issues. This paper describes application of a new scenario methodology for identifying issues that emerging technologies are likely to raise in a future six or seven years hence, but that deserve policymakers’ attention now. It often takes policymakers that long to develop a new policy, consult with stakeholders and implement the policy. Thus, policymakers need a structured, but concise framework in order to understand the issues and their various implications. At the same time, they also prefer policies that have stakeholder support. These considerations led the University of Twente in the Netherlands and the UK’s Trilateral Research to develop the scenario that follows. It is structured with several headings that policymakers need to consider in order to move toward a desired future and avoidance of an undesired future.
Uncontrolled Keywords:
Predictive analysis, Policing, Law enforcement authorities, SHERPA project, Predictive policing
Creators:
Macnish, K., Wright, D. and Jiya, T.
Editors:
Jahankhani,, H., Akhgar, B., Cochrane, P. and Dastbaz, M.
Publisher:
Springer Nature Switzerland AG
Faculties, Divisions and Institutes:
Faculties > Faculty of Business & Law > Business Systems & Operations
Date:
18 July 2020
Date Type:
Publication
Page Range:
pp. 199-215
Title of Book:
Policing in the Era of AI and Smart Societies :
Series Name:
Advanced Sciences and Technologies for Security Applications
Number of Pages:
17
Language:
English
ISBN:
978-3-030-50613-1
DOI:
10.1007/978-3-030-50613-1_9
Status:
Published / Disseminated
Refereed:
No
Related URLs:
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