Navigating AI Implementation in Local Government: Addressing Dilemmas by Fostering Mutuality and Meaningfulness

IF 6.9 3区 管理学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Emmi Heinisuo, Päivikki Kuoppakangas, Jari Stenvall
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引用次数: 0

Abstract

This study explores AI-enabled local public service provisioning, especially dilemmas of the mutual and meaningful development process. Theoretically, it builds on the current literature on AI implementation in the public sector and relates it to the theorisations of mutuality and meaningfulness. Empirically, it examines the experiences of public agents in a qualitative case study of chatbot development by the City of Oulu, Finland. The study concludes six factors that are constructed into three interconnected dilemma pairs to examine cross-cutting problematic decision-making scenarios and provide reconciliations through mutuality and meaningfulness.

引导人工智能在地方政府的实施:通过促进相互性和意义来解决困境
本研究探讨了人工智能支持的地方公共服务提供,特别是相互和有意义的发展过程中的困境。从理论上讲,它建立在当前关于公共部门人工智能实施的文献基础上,并将其与相互关系和有意义的理论联系起来。在经验上,它在芬兰奥卢市的聊天机器人发展定性案例研究中考察了公共代理人的经验。该研究将六个因素构建为三个相互关联的困境对,以检验跨领域的问题决策情景,并通过相互关系和意义提供和解。
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来源期刊
Information Systems Frontiers
Information Systems Frontiers 工程技术-计算机:理论方法
CiteScore
13.30
自引率
18.60%
发文量
127
审稿时长
9 months
期刊介绍: The interdisciplinary interfaces of Information Systems (IS) are fast emerging as defining areas of research and development in IS. These developments are largely due to the transformation of Information Technology (IT) towards networked worlds and its effects on global communications and economies. While these developments are shaping the way information is used in all forms of human enterprise, they are also setting the tone and pace of information systems of the future. The major advances in IT such as client/server systems, the Internet and the desktop/multimedia computing revolution, for example, have led to numerous important vistas of research and development with considerable practical impact and academic significance. While the industry seeks to develop high performance IS/IT solutions to a variety of contemporary information support needs, academia looks to extend the reach of IS technology into new application domains. Information Systems Frontiers (ISF) aims to provide a common forum of dissemination of frontline industrial developments of substantial academic value and pioneering academic research of significant practical impact.
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