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.
Macnish_etal_SNS_2020_Predictive_policing_in_2025_A_scenario (796kB) |
Macnish_etal_Springer_2020_Predictive_Policing_In_2025_A_Scenario (341kB) |
Item Type: | Book Section |
---|---|
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, Kevin, Wright, David and Jiya, Tilimbe |
Editors: | Jahankhani,, Hamid, Akhgar, Babak, Cochrane, Peter and Dastbaz, Mohammad |
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: | https://doi.org/10.1007/978-3-030-50613-1_9 |
Status: | Published / Disseminated |
Refereed: | No |
Related URLs: | |
URI: | http://nectar.northampton.ac.uk/id/eprint/13452 |
Actions (login required)
Edit Item |