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Expectations of AI for Surveillance in Policing

Conference paper
Authors Marie Eneman
Marie Griffiths
Jan Ljungberg
Rachel McLean
Bertil Rolandsson
Dick Stenmark
Published in Proceedings of The 9th biennial Surveillance & Society conference of the Surveillance Studies Network
Publication year 2020
Published at Department of Applied Information Technology (GU)
Department of Sociology and Work Science
Language en
Keywords Surveillance Artificial Intelligence (AI) Policing Expectations Policing 4.0 Sweden United Kingdom
Subject categories Law and Society, Technology and social change, Information Systems

Abstract

Police authorities all around the world are currently using a number of surveillance technologies such as stationary surveillance systems (CCTV), body-worn cameras, cameras in cars, drones and a variety of sensors. The most recent development in algorithms and artificial intelligence advances the analytical step in surveillance, for example by face and motion recognition, raises expectations on improved effectiveness, security, transparency and legitimacy. On the one hand, these surveillance technologies are described as tools improving crime prevention, investigation and legal security in society, on the other hand the technologies are also associated with concern of threats to individuals’ integrity and privacy. Nonetheless, slowly and surely machine learning is shaping policies and legislation before the ethical consequences have been fully understood. The aim of this paper is to explore police authorities’ expectations of artificial intelligence in relation to surveillance both in terms of possibilities and challenges. Empirically, the study will capture and reflect on the digital transformation of police forces for the emerging Policing 4.0 in Sweden and the United Kingdom.

Page Manager: Webmaster|Last update: 9/11/2012
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