Affiliation:
1. Professor of Law, Magdalen College, University of Oxford
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.
Subject
Metals and Alloys,Mechanical Engineering,Mechanics of Materials
Cited by
13 articles.
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