理论化自动逮捕:可能、可能和合法?

Q1 Social Sciences
Brendon Murphy, B. Arnold, W. Bonython
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引用次数: 0

摘要

摘要技术在执法中长期发挥着重要作用。它通常用于识别嫌疑人并获取后续起诉中使用的证据。随着面部识别技术的进步、人口规模的识别以及无需人工干预就能进行物理捕获的系统的出现,我们质疑自动逮捕是否合法和可能。本文对“智能门户”、普遍的全景主义和无人驾驶汽车世界中逮捕自动化的各个方面进行了理论分析。它考虑了技术、法律和影响。在这样做的过程中,它将自动化作为“软实力”,代表国家合法使用武力。它的结论是,自动逮捕极有可能,在许多情况下是合法的,而且迫切需要监管。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Theorising automated arrest: possible, likely and lawful?
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.
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来源期刊
Law, Innovation and Technology
Law, Innovation and Technology Social Sciences-Law
CiteScore
4.50
自引率
0.00%
发文量
18
期刊介绍: Stem cell research, cloning, GMOs ... How do regulations affect such emerging technologies? What impact do new technologies have on law? And can we rely on technology itself as a regulatory tool? The meeting of law and technology is rapidly becoming an increasingly significant (and controversial) topic. Law, Innovation and Technology is, however, the only journal to engage fully with it, setting an innovative and distinctive agenda for lawyers, ethicists and policy makers. Spanning ICTs, biotechnologies, nanotechnologies, neurotechnologies, robotics and AI, it offers a unique forum for the highest level of reflection on this essential area.
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