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Deep Learning Meets Deep Democracy: Deliberative Governance and Responsible Innovation in Artificial Intelligence
Business Ethics Quarterly ( IF 4.697 ) Pub Date : 2022-01-24 , DOI: 10.1017/beq.2021.42
Alexander Buhmann 1 , Christian Fieseler 1
Affiliation  

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.



中文翻译:

深度学习遇上深度民主:人工智能中的协商治理和负责任创新

人工智能 (AI) 中负责任的创新需要公众审议:消息灵通的“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,以批判性方式解决人工智能的目标和手段。然而,由于 AI 的不透明性以及专家和公民之间的强大知识界限,采用这种方法构成了挑战。这破坏了对人工智能的信任,削弱了审议的关键条件。我们将这一挑战视为将 AI 行业参与者的知识置于审议系统中的问题。我们为 AI 创新制定了新的责任框架,并为履行这些责任制定了协商治理方法。在阐明这种方法时,

更新日期:2022-01-24
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