人工智能和受害者应得信息对公民行政错误归责的影响

IF 5 2区管理学 Q1 MANAGEMENT

Public Management Review Pub Date : 2024-10-07 DOI:10.1080/14719037.2024.2411632

Lei Tao, Jinhan Wan, Bo Wen

引用次数: 0

摘要

本研究探讨了公民如何将人工智能（AI）与人类决策者相比所犯的行政错误归咎于政府当局。根据责任归因，我们可以得出以下结论

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

The effects of artificial intelligence and victims’ deservingness information on citizens’ blame attribution towards administrative errors

This study examines how citizens attribute blame to government authorities for administrative errors made by artificial intelligence (AI) compared to human decision-makers. Based on blame attributi...

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Public Management Review Multiple-

CiteScore

10.90

自引率

16.30%

发文量

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.