设计监管:特点、做法、局限性和治理影响

IF 4.2 3区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Kostina Prifti, Jessica Morley, Claudio Novelli, Luciano Floridi
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引用次数: 0

摘要

设计调控(RBD)是一个不断发展的研究领域,它探索、发展并批评设计的调控功能。在本文中,我们对现有文献进行了定性专题综述。其目的是探索和分析 "按需设计 "的核心特征、实践、局限性以及相关的治理影响。为了实现这一目标,我们研究了数字技术背景下有关成果预算编制的现有文献。我们首先确定并构建了限制性商业发展的核心特征,即目标、监管者、被监管者、方法和技术。在此基础上,我们区分了三类限制性商业发展实践:设计合规、设计创造价值和设计优化。然后,我们探讨了 RBD 实践所面临的挑战和局限性,这些挑战和局限性来自与设计合规性相关的风险、环境局限性或方法的不确定性。最后,我们探讨了 RBD 的治理意义,并概述了该研究领域及其实践未来可能的发展方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Regulation by Design: Features, Practices, Limitations, and Governance Implications

Regulation by design (RBD) is a growing research field that explores, develops, and criticises the regulative function of design. In this article, we provide a qualitative thematic synthesis of the existing literature. The aim is to explore and analyse RBD’s core features, practices, limitations, and related governance implications. To fulfil this aim, we examine the extant literature on RBD in the context of digital technologies. We start by identifying and structuring the core features of RBD, namely the goals, regulators, regulatees, methods, and technologies. Building on that structure, we distinguish among three types of RBD practices: compliance by design, value creation by design, and optimisation by design. We then explore the challenges and limitations of RBD practices, which stem from risks associated with compliance by design, contextual limitations, or methodological uncertainty. Finally, we examine the governance implications of RBD and outline possible future directions of the research field and its practices.

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来源期刊
Minds and Machines
Minds and Machines 工程技术-计算机:人工智能
CiteScore
12.60
自引率
2.70%
发文量
30
审稿时长
>12 weeks
期刊介绍: Minds and Machines, affiliated with the Society for Machines and Mentality, serves as a platform for fostering critical dialogue between the AI and philosophical communities. With a focus on problems of shared interest, the journal actively encourages discussions on the philosophical aspects of computer science. Offering a global forum, Minds and Machines provides a space to debate and explore important and contentious issues within its editorial focus. The journal presents special editions dedicated to specific topics, invites critical responses to previously published works, and features review essays addressing current problem scenarios. By facilitating a diverse range of perspectives, Minds and Machines encourages a reevaluation of the status quo and the development of new insights. Through this collaborative approach, the journal aims to bridge the gap between AI and philosophy, fostering a tradition of critique and ensuring these fields remain connected and relevant.
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