The EU Approach to Ethics Guidelines for Trustworthy Artificial Intelligence

The EU Approach to Ethics Guidelines for Trustworthy Artificial Intelligence
复制标题

欧盟可信人工智能道德准则方法

DOI:
--
复制
发表时间:
2019
期刊:
Computer Law Review International
影响因子:
--
通讯作者:
Nathalie A. Smuha
Nathalie A. Smuha
中科院分区:
--
文献类型:
--
作者:
Nathalie A. Smuha

文献摘要

被引文献

相似文献

不断迈向适当的人工智能治理框架 作为欧洲人工智能 (AI) 战略的一部分,并为了应对该技术引发的日益严重的道德问题,欧盟委员会于 2018 年 6 月成立了独立的人工智能高级别专家组 (AI HLEG)。该小组的任务是起草两项可交付成果:人工智能道德准则以及政策和投资建议。九个月后,其第一个交付成果发布,提出了一个全面的框架,通过为人工智能从业者提供道德指导来实现“值得信赖的人工智能”。本文深入探讨了该小组开展的工作,特别关注其人工智能道德准则。首先,本文阐明了 AI HLEG 成立的背景及其任务 (I.)。随后,阐述了《指南》的目的和宗旨(二),并分析了《指南》的起草过程(三)。特别关注围绕人工智能治理领域中道德和法律各自发挥的作用的问题(IV.),以及整个过程中必须克服的一些挑战(V.)。最后,本文将指南置于国际背景下,并提出了在建立适当的人工智能治理框架 (VII.) 的过程中的后续步骤 (VI.)。
A continuous journey towards an appropriate governance framework for AI As part of its European strategy for Artificial Intelligence (AI), and as a response to the increasing ethical questions raised by this technology, the European Commission established an independent High-Level Expert Group on Artificial Intelligence (AI HLEG) in June 2018. The group was tasked to draft two deliver-ables: AI Ethics Guidelines and Policy and Investment Recommendations. Nine months later, its first deliverable was published, putting forward a comprehensive framework to achieve “ Trustworthy AI ” by offering ethical guidance to AI practitioners. This paper dives into the work carried out by the group, focusing in particular on its AI Ethics Guidelines. First, this paper clarifies the context that led to the creation of the AI HLEG and its mandate (I.). Subsequently, it elaborates on the Guidelines ’ aim and purpose (II.), and analyses the Guidelines ’ drafting process (III.). Particular focus is given to the questions surrounding the respective role played by ethics and law in the AI governance landscape (IV.), as well as some of the challenges that had to be overcome throughout the process (V.). Finally, this paper places the Guidelines in an international context, and sets out the next steps (VI.) ahead on the journey towards an appropriate governance framework for AI (VII.).