It takes two to code: a comparative analysis of collective bargaining and artificial intelligence

Oscar Molina, Florian Butollo, Csaba Makó, Alejandro Godino, Ursula Holtgrewe, Anna Illsoe, Sander Junte, Trine Pernille Larsen, Miklós Illésy, Jószef Pap and Philip Wotschack
Additional contact information
Oscar Molina: Universitat Autònoma de Barcelona (QUIT), Spain
Florian Butollo: Berlin Social Science Centre (WZB), Germany
Csaba Makó: Institute for Sociology, Hungarian Academy of Social Sciences (TKSZI), Hungary
Alejandro Godino: Universitat Autònoma de Barcelona (QUIT), Spain
Ursula Holtgrewe: Zentrum für soziale Innovation (ZSI), Germany
Anna Illsoe: University of Copenhagen (FAOS), Denmark
Sander Junte: Universitat Autònoma de Barcelona (QUIT), Spain
Trine Pernille Larsen: University of Copenhagen (FAOS), Denmark
Miklós Illésy: Institute for Sociology, Hungarian Academy of Social Sciences (TKSZI), Hungary
Jószef Pap: Institute for Sociology, Hungarian Academy of Social Sciences (TKSZI), Hungary
Philip Wotschack: Berlin Social Science Centre (WZB), Germany

Transfer: European Review of Labour and Research, 2023, vol. 29, issue 1, 87-104

Abstract: The extension of artificial intelligence (AI) and algorithmic management mechanisms by companies has led to growing trade union demands to regulate their use. This article explores the role of collective bargaining and employee participation mechanisms in regulating the use by companies of AI and algorithms. This is done through a comparative analysis of institutional developments at EU level, as well as in four countries with different industrial relations models (Denmark, Germany, Hungary and Spain). The article shows that there are remarkable differences between countries in the roles of social partners and in the combination of protective and participative mechanisms used to respond to the challenges of AI and algorithmic management. However, the analysis also serves to highlight the limits of existing institutions and practices to cope with the complexity of challenges associated with AI and algorithmic management. This calls for institutional adaptation and additional regulatory efforts at EU and national levels to support collective bargaining.

Keywords: Algorithmic management; artificial intelligence; collective bargaining; participation; trade unions (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:sae:treure:v:29:y:2023:i:1:p:87-104

DOI: 10.1177/10242589231156515

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