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

Author:

Molina Oscar1,Butollo Florian2,Makó Csaba3,Godino Alejandro1,Holtgrewe Ursula4,Illsoe Anna5,Junte Sander1,Larsen Trine Pernille5,Illésy Miklós3,Pap Jószef3,Wotschack Philip2

Affiliation:

1. Universitat Autònoma de Barcelona (QUIT), Spain

2. Berlin Social Science Centre (WZB), Germany

3. Institute for Sociology, Hungarian Academy of Social Sciences (TKSZI), Hungary

4. Zentrum für soziale Innovation (ZSI), Germany

5. University of Copenhagen (FAOS), Denmark

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.

Funder

directorate-general for employment, social affairs and inclusion

Publisher

SAGE Publications

Subject

Organizational Behavior and Human Resource Management,Industrial relations

Reference64 articles.

1. Albrecht T, Görlitz J (2021) Künstliche Intelligenz als Handlungsfeld für Gewerkschaften. Denk-doch-Mal.de: das online magazine. Available at: https://wap.igmetall.de/denk-doch-mal-22517.htm (accessed 5 March 2022).

2. Essential jobs, remote work and digital surveillance: addressing the COVID‐19 pandemic panopticon

3. Shrinking collective bargaining coverage, increasing income inequality: A comparison of five EU countries

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