AbstractThis article is based on a roundtable held at the Association of Internet Researchers (AoIR) annual con'/> Association of Internet Researchers (AoIR) Roundtable Summary: Artificial Intelligence and the Good Society Workshop Proceedings
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Association of Internet Researchers (AoIR) Roundtable Summary: Artificial Intelligence and the Good Society Workshop Proceedings

机译:互联网研究者协会(AoIR)圆桌会议摘要:人工智能与良好社会研讨会论文集

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AbstractThis article is based on a roundtable held at the Association of Internet Researchers (AoIR) annual conference in 2017, in Tartu, Estonia. The roundtable was organized by the Oxford Internet Institute’s (OII) Digital Ethics Lab (DELab). It was entitled “Artificial Intelligence and the Good Society”. It brought together four scholars—Michael Zimmer, Stine Lomborg, Ben Zevenbergen, and Corinne Cath—to discuss the promises and perils of artificial intelligence (AI), in particular what ethical frameworks are needed to guide AI’s rapid development and increased use in societies. The paper covers three case studies. They give a distinct overview of the ethical issues raised by the use of AI at different levels of analysis: top-down application of AI, bottom-up use of AI, and how academics and governments have reacted to these new challenges. From the case studies, four areas emerged. They represent some of the most topical ethical questions related to AI: (1) its uses, (2) its users, (3) its designers, and (4) the data that fuel it. Each of them provided a specific subset of ethical concerns that need further investigation. In conclusion, three recommendations are formulated for researchers and regulators to ensure the AI has a net-positive impact on society.
机译: Abstract 本文基于互联网研究者协会(AoIR)举行的圆桌会议)2017年年会,在爱沙尼亚塔尔图。圆桌会议是由牛津互联网学院(OII)的数字道德实验室(DELab)组织的。它的名称为“人工智能与善良社会”。它召集了四位学者,分别是Michael Zimmer,Stine Lomborg,Ben Zevenbergen和Corinne Cath,讨论了人工智能(AI)的前景和危险,特别是需要哪些道德框架来指导AI的快速发展和在社会中的广泛使用。本文涵盖了三个案例研究。他们对在不同分析级别上使用AI引发的道德问题进行了清晰的概述:自上而下的AI应用,自下而上的AI使用以及学者和政府如何应对这些新挑战。通过案例研究,出现了四个领域。它们代表了与AI相关的一些最热门的道德问题:(1)它的用途,(2)它的用户,(3)它的设计者以及(4)推动它发展的数据。他们每个人都提供了道德关注的特定子集,需要进一步调查。最后,为研究人员和监管机构提出了三项建议,以确保AI对社会产生净积极影响。

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