谁用人工智能驱动的机器人来守卫守卫?人工智能机器人建议下警察暴力的伦理性和认知中性化

IF 5 2区 管理学 Q1 MANAGEMENT Public Management Review Pub Date : 2023-10-17 DOI:10.1080/14719037.2023.2269203
Lisa Hohensinn, Jurgen Willems, Meikel Soliman, Dieter Vanderelst, Jonathan Stoll
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引用次数: 0

摘要

我们调查了当警察听从人工智能机器人的建议时,警察行为的道德观念是否会发生变化。我们评估警察暴力的道德认知是否更高,当警察……
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Who guards the guards with AI-driven robots? The ethicalness and cognitive neutralization of police violence following AI-robot advice
We investigate whether the perceived ethicalness of police actions changes when police follow an AI-robot’s advice. We assess whether perceived ethicalness of police violence is higher when police ...
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来源期刊
CiteScore
10.90
自引率
16.30%
发文量
0
期刊介绍: Public Management Review seeks to: -explore the developing field of public management -embrace research both about the strategic and operational management of public services and about social/public policy development and implementation -encourage in particular work which either presents new empirical knowledge about public management and/or developed theory -encourage questioning both of the legitimacy and hegemony of the ’new public management’ paradigm and its alternatives, and of the developing pluralism in public management which encompasses the governance of inter-sectoral relationships between government, non-profit and for-profit organisations in the provision of public services. The remit of Public Management Review is to promote the dissemination and discussion of such research about public management. Its specific target audience is the academic and research community. Public Management Review is an international journal, seeking to draw together and learn lessons from the development of public management across the world rather than being parochially focused upon one area and encourages cross-national and comparative research papers. The journal promotes inter-disciplinary work. Much of the most important work about public management is coming at the cusp of traditional disciplines. Public Management Review promotes such cross-boundary learning and conceptualisation.
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