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人工智能与“美好社会”:美国、欧盟和英国的方法。

Artificial Intelligence and the 'Good Society': the US, EU, and UK approach.

机构信息

Oxford Internet Institute, University of Oxford, 1 St Giles, Oxford, OX1 3JS, UK.

The Alan Turing Institute, Headquartered at the British Library, 96 Euston Road, London, NW1 2DB, UK.

出版信息

Sci Eng Ethics. 2018 Apr;24(2):505-528. doi: 10.1007/s11948-017-9901-7. Epub 2017 Mar 28.

DOI:10.1007/s11948-017-9901-7
PMID:28353045
Abstract

In October 2016, the White House, the European Parliament, and the UK House of Commons each issued a report outlining their visions on how to prepare society for the widespread use of artificial intelligence (AI). In this article, we provide a comparative assessment of these three reports in order to facilitate the design of policies favourable to the development of a 'good AI society'. To do so, we examine how each report addresses the following three topics: (a) the development of a 'good AI society'; (b) the role and responsibility of the government, the private sector, and the research community (including academia) in pursuing such a development; and (c) where the recommendations to support such a development may be in need of improvement. Our analysis concludes that the reports address adequately various ethical, social, and economic topics, but come short of providing an overarching political vision and long-term strategy for the development of a 'good AI society'. In order to contribute to fill this gap, in the conclusion we suggest a two-pronged approach.

摘要

2016 年 10 月,白宫、欧洲议会和英国下议院分别发布了一份报告,概述了他们对如何为人工智能(AI)的广泛应用做好社会准备的看法。在本文中,我们对这三份报告进行了比较评估,以便为制定有利于“良好 AI 社会”发展的政策提供便利。为此,我们研究了每份报告如何处理以下三个主题:(a) “良好 AI 社会”的发展;(b) 政府、私营部门和研究界(包括学术界)在追求这种发展中的作用和责任;以及 (c) 支持这种发展的建议可能需要改进的地方。我们的分析得出的结论是,这些报告充分讨论了各种伦理、社会和经济问题,但缺乏为“良好 AI 社会”的发展提供全面的政治愿景和长期战略。为了弥补这一空白,我们在结论中提出了一种双管齐下的方法。

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What is data ethics?什么是数据伦理?
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There is a blind spot in AI research.人工智能研究中存在一个盲点。
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Scoping Review Shows the Dynamics and Complexities Inherent to the Notion of "Responsibility" in Artificial Intelligence within the Healthcare Context.范围审查揭示了医疗保健背景下人工智能中“责任”概念所固有的动态性和复杂性。
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Specific challenges posed by artificial intelligence in research ethics.人工智能在研究伦理方面带来的具体挑战。
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