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.

中文翻译：

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在工作中调节算法：“欧洲人工智能方法”的经验教训

本文仔细研究了欧盟法律中现有监管机构在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、技术和法律挑战的潜力，以期为拟议中的欧盟提供重要的经验教训人工智能法案。调查数据保护和歧视规则以及社会获取，它突出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督其实施方面的作用。