The virtuous smart city: Bridging the gap between ethical principles and practices of data-driven innovation

IF 1.8 Q3 PUBLIC ADMINISTRATION Data & policy Pub Date : 2023-05-02 DOI:10.1017/dap.2023.9
Viivi Lähteenoja, Kimmo Karhu
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Abstract

Abstract For smart cities, data-driven innovation promises societal benefits and increased well-being for residents and visitors. At the same time, the deployment of data-driven innovation poses significant ethical challenges. Although cities and other public-sector actors have increasingly adopted ethical principles, employing them in practice remains challenging. In this commentary, we use a virtue-based approach that bridges the gap between abstract principles and the daily work of practitioners who engage in and with data-driven innovation processes. Inspired by Aristotle, we describe practices of data-driven innovation in a smart city applying the concepts of virtue and phronêsis, meaning good judgment of and sensitivity to ethical issues. We use a dialogic case-study approach to study two cases of data-driven innovation in the city of Helsinki. We then describe as an illustration of how our approach can help bridge the gap between concrete practices of data-driven innovation and high-level principles. Overall, we advance a theoretically grounded, virtue-based approach, which is practice oriented and linked to the daily work of data scientists and other practitioners of data-driven innovation. Further, this approach helps understand the need for and importance of individual application of phronêsis, which is particularly important in public-sector organizations that can experience gaps between principle and practice. This importance is further intensified in cases of data-driven innovation in which, by definition, novel and unknown contexts are explored.
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良性智慧城市:弥合数据驱动创新的伦理原则和实践之间的差距
摘要对于智能城市来说,数据驱动的创新有望带来社会效益,并提高居民和游客的福祉。与此同时,数据驱动创新的部署带来了重大的道德挑战。尽管城市和其他公共部门行为者越来越多地采用道德原则,但在实践中采用这些原则仍然具有挑战性。在这篇评论中,我们使用了一种基于美德的方法,弥合了抽象原则与从事数据驱动创新过程的从业者日常工作之间的差距。受亚里士多德的启发,我们描述了智能城市中数据驱动创新的实践,应用了美德和phronêsis的概念,这意味着对道德问题的良好判断和敏感性。我们采用对话案例研究的方法研究了赫尔辛基市的两个数据驱动创新案例。然后,我们描述了我们的方法如何帮助弥合数据驱动创新的具体实践与高水平原则之间的差距。总的来说,我们提出了一种基于理论、基于美德的方法,这种方法以实践为导向,并与数据科学家和其他数据驱动创新从业者的日常工作相联系。此外,这种方法有助于理解个人应用phronêsis的必要性和重要性,这在可能在原则和实践之间存在差距的公共部门组织中尤为重要。这种重要性在数据驱动的创新中得到了进一步加强,根据定义,在这些创新中,探索了新颖和未知的背景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
3.10
自引率
0.00%
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0
审稿时长
12 weeks
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