Algorithmic management and collective bargaining

Valerio De Stefano and Simon Taes
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Valerio De Stefano: York University, Toronto, Ontario, Canada
Simon Taes: Institute for Labour Law of the KU Leuven, Belgium

Transfer: European Review of Labour and Research, 2023, vol. 29, issue 1, 21-36

Abstract: This article addresses the challenges raised by the introduction of algorithmic management and artificial intelligence in the world of work, focusing on the risks that new managerial technologies present for fundamental rights and principles, such as non-discrimination, freedom of association and the right to privacy. The article argues that collective bargaining is the most suitable regulatory instrument for responding to these challenges, and that current EU legislative initiatives do not adequately recognise the role of collective bargaining in this area. It also maps current initiatives undertaken by national trade union movements in Europe to govern algorithmic management.

Keywords: Algorithmic management; algorithmic discrimination; artificial intelligence; employment relationship; platform work; collective bargaining (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:sae:treure:v:29:y:2023:i:1:p:21-36

DOI: 10.1177/10242589221141055

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