Deep Learning Meets Deep Democracy: Deliberative Governance and Responsible Innovation in Artificial Intelligence

IF 3.4 2区 哲学 Q2 BUSINESS
Alexander Buhmann, Christian Fieseler
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引用次数: 17

Abstract

Responsible innovation in artificial intelligence (AI) calls for public deliberation: well-informed “deep democratic” debate that involves actors from the public, private, and civil society sectors in joint efforts to critically address the goals and means of AI. Adopting such an approach constitutes a challenge, however, due to the opacity of AI and strong knowledge boundaries between experts and citizens. This undermines trust in AI and undercuts key conditions for deliberation. We approach this challenge as a problem of situating the knowledge of actors from the AI industry within a deliberative system. We develop a new framework of responsibilities for AI innovation as well as a deliberative governance approach for enacting these responsibilities. In elucidating this approach, we show how actors from the AI industry can most effectively engage with experts and nonexperts in different social venues to facilitate well-informed judgments on opaque AI systems and thus effectuate their democratic governance.
深度学习与深度民主:人工智能中的协商治理与负责任创新
人工智能的负责任创新需要公众参与:这是一场知情的“深度民主”辩论,涉及公共、私营和民间社会部门的参与者,共同努力批判性地解决人工智能的目标和手段。然而,采用这种方法是一种挑战,由于人工智能的不透明性以及专家和公民之间强大的知识边界。这破坏了人们对人工智能的信任,削弱了审议的关键条件。我们将这一挑战视为一个将人工智能行业参与者的知识置于审议系统中的问题。我们为人工智能创新制定了一个新的责任框架,以及制定这些责任的审慎治理方法。在阐明这种方法时,我们展示了人工智能行业的参与者如何最有效地与不同社会场所的专家和非专家接触,以促进对不透明的人工智能系统的知情判断,从而实现其民主治理。
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来源期刊
CiteScore
6.20
自引率
10.00%
发文量
38
期刊介绍: Business Ethics Quarterly (BEQ) is a peer-reviewed scholarly journal that publishes theoretical and empirical research relevant to the ethics of business. Since 1991 this multidisciplinary journal has published articles and reviews on a broad range of topics, including the internal ethics of business organizations, the role of business organizations in larger social, political and cultural frameworks, and the ethical quality of market-based societies and market-based relationships. It recognizes that contributions to the better understanding of business ethics can come from any quarter and therefore publishes scholarship rooted in the humanities, social sciences, and professional fields.
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