Theorising automated arrest : Possible, likely and lawful?

Journal article


Murphy, Brendon, Arnold, Bruce Baer and Bonython, Wendy. (2023). Theorising automated arrest : Possible, likely and lawful? Law, Innovation and Technology. 15(2), pp. 453-489. https://doi.org/10.1080/17579961.2023.2245681
AuthorsMurphy, Brendon, Arnold, Bruce Baer and Bonython, Wendy
Abstract

Technology has long played a role in law enforcement. It is often used to identify suspects and obtain evidence used in subsequent prosecution. With advances in facial recognition technology, population-scale identification and the emergence of systems that enable physical capture without human intervention, we question whether automated arrest is lawful and likely. This article theorises aspects of the automation of arrest in a world of ‘smart portals’, pervasive panopticism and driverless vehicles. It considers technologies, legalities and implications. In doing so it engages with automation as ‘soft power’, a proxy for the state’s lawful use of physical force. It concludes that automated arrest is highly likely, in many instances legal, and with an imperative need for regulation.

Keywordsautomated arrest; enabling technologies; reflexive containment; surveillance; biometrics; driverless vehicles; legality
Year2023
JournalLaw, Innovation and Technology
Journal citation15 (2), pp. 453-489
PublisherRoutledge
ISSN1757-9961
Digital Object Identifier (DOI)https://doi.org/10.1080/17579961.2023.2245681
Scopus EID2-s2.0-85168131073
Page range453-489
Publisher's version
License
All rights reserved
File Access Level
Controlled
Output statusPublished
Publication dates
Online18 Aug 2023
Publication process dates
Accepted01 Nov 2022
Deposited18 Oct 2023
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https://acuresearchbank.acu.edu.au/item/8zw1v/theorising-automated-arrest-possible-likely-and-lawful

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