Safety, privacy, or both: evaluating citizens’ perspectives around artificial intelligence use by police forces

EZZEDDINE, Yasmine, BAYERL, Petra and GIBSON, Helen (2023). Safety, privacy, or both: evaluating citizens’ perspectives around artificial intelligence use by police forces. Policing and Society, 33 (7), 861-876.

[img]
Preview
PDF
Ezzeddine-SafetyPrivacyBoth(VoR).pdf - Published Version
Creative Commons Attribution Non-commercial No Derivatives.

Download (1MB) | Preview
[img]
Preview
PDF
Ezzeddine-SafetyPrivacyBoth(AM).pdf - Accepted Version
Creative Commons Attribution.

Download (363kB) | Preview
Official URL: https://www.tandfonline.com/doi/full/10.1080/10439...
Open Access URL: https://www.tandfonline.com/doi/epdf/10.1080/10439... (Published version)
Link to published version:: https://doi.org/10.1080/10439463.2023.2211813

Abstract

Police forces are increasing their use of artificial intelligence (AI) capabilities for security purposes. However, citizens are often aware and cautious about advanced policing capabilities which can impact negatively on the perceived legitimacy of policing efforts and police more generally. This study explores citizens’ subjective perspectives to police use by AI, including tensions between security, privacy, and resistance. Using Q methodology with 43 participants in the UK, Netherlands, and Germany we identified five distinct perspectives towards AI use by police forces. The five perspectives illustrate the complex, diverse viewpoints citizens exhibit with respect to AI use by police and highlight that citizens’ perspectives are more complex than often portrayed. Our findings offer theoretical and practical implications for public engagement around general versus personal safety, privacy and potentials for moral dilemmas and counter-reactions.

Item Type: Article
Uncontrolled Keywords: 1602 Criminology; 1605 Policy and Administration; 1607 Social Work; 4407 Policy and administration; 4408 Political science
Identification Number: https://doi.org/10.1080/10439463.2023.2211813
Page Range: 861-876
SWORD Depositor: Symplectic Elements
Depositing User: Symplectic Elements
Date Deposited: 19 May 2023 16:40
Last Modified: 11 Oct 2023 13:30
URI: https://shura.shu.ac.uk/id/eprint/31911

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics