Regulating algorithms at work: Lessons for a ‘European approach to artificial intelligence’

IF 1.9 Q2 LAW
Jeremias Adams-Prassl
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引用次数: 8

Abstract

This article scrutinises the potential of the existing regulatory apparatus in Union law to tackle the social, technical, and legal challenges inherent in deploying automated systems in high-risk settings such as the workplace, with a view to setting out key lessons for the proposed EU Artificial Intelligence Act. Surveying data protection and discrimination rules as well as the social acquis, it highlights key areas for further development, from coherence between different regulatory regimes to the role of social partnership in shaping key standards and monitoring their implementation.
监管算法发挥作用:“欧洲人工智能方法”的教训
本文仔细研究了欧盟法律中现有监管机构的潜力,以解决在工作场所等高风险环境中部署自动化系统所固有的社会、技术和法律挑战,以期为拟议的欧盟人工智能法案提供关键经验教训。报告调查了数据保护和歧视规则以及社会现状,强调了进一步发展的关键领域,从不同监管制度之间的一致性到社会伙伴关系在制定关键标准和监测其实施方面的作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
1.60
自引率
28.60%
发文量
29
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