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

Research output: Contribution to journal › Journal article › Research › peer-review

Standard

It takes two to code : a comparative analysis of collective bargaining and artificial intelligence. / Molina, Oscar; Butollo, Florian; Mako, Csaba; Godino, Alejandro; Ursula Holtgrewe, Ursula ; Ilsøe, Anna; Junte, Sander; Larsen, Trine Pernille; Illesy, Miklos; Pap, Joszef; Wotschak, Philip.

In: TRANSFER - European Review of Labour and Research, Vol. 29, No. 1, 2023, p. 87–104.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Molina, O, Butollo, F, Mako, C, Godino, A, Ursula Holtgrewe, U, Ilsøe, A, Junte, S, Larsen, TP, Illesy, M, Pap, J & Wotschak, P 2023, 'It takes two to code: a comparative analysis of collective bargaining and artificial intelligence', TRANSFER - European Review of Labour and Research, vol. 29, no. 1, pp. 87–104. https://doi.org/10.1177/10242589231156515

APA

Molina, O., Butollo, F., Mako, C., Godino, A., Ursula Holtgrewe, U., Ilsøe, A., Junte, S., Larsen, T. P., Illesy, M., Pap, J., & Wotschak, P. (2023). It takes two to code: a comparative analysis of collective bargaining and artificial intelligence. TRANSFER - European Review of Labour and Research, 29(1), 87–104. https://doi.org/10.1177/10242589231156515

Vancouver

Molina O, Butollo F, Mako C, Godino A, Ursula Holtgrewe U, Ilsøe A et al. It takes two to code: a comparative analysis of collective bargaining and artificial intelligence. TRANSFER - European Review of Labour and Research. 2023;29(1):87–104. https://doi.org/10.1177/10242589231156515

Author

Molina, Oscar ; Butollo, Florian ; Mako, Csaba ; Godino, Alejandro ; Ursula Holtgrewe, Ursula ; Ilsøe, Anna ; Junte, Sander ; Larsen, Trine Pernille ; Illesy, Miklos ; Pap, Joszef ; Wotschak, Philip. / It takes two to code : a comparative analysis of collective bargaining and artificial intelligence. In: TRANSFER - European Review of Labour and Research. 2023 ; Vol. 29, No. 1. pp. 87–104.

Bibtex

@article{762a7e602356428c948ff7e85469f2bd,
title = "It takes two to code: a comparative analysis of collective bargaining and artificial intelligence",
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 = "Faculty of Social Sciences, Algorithmic management, artificial intelligence, collective bargaining, participation, trade unions",
author = "Oscar Molina and Florian Butollo and Csaba Mako and Alejandro Godino and {Ursula Holtgrewe}, Ursula and Anna Ils{\o}e and Sander Junte and Larsen, {Trine Pernille} and Miklos Illesy and Joszef Pap and Philip Wotschak",
year = "2023",
doi = "10.1177/10242589231156515",
language = "English",
volume = "29",
pages = "87–104",
journal = "Transfer",
issn = "1024-2589",
publisher = "SAGE Publications",
number = "1",

}

RIS

TY - JOUR

T1 - It takes two to code

T2 - a comparative analysis of collective bargaining and artificial intelligence

AU - Molina, Oscar

AU - Butollo, Florian

AU - Mako, Csaba

AU - Godino, Alejandro

AU - Ursula Holtgrewe, Ursula

AU - Ilsøe, Anna

AU - Junte, Sander

AU - Larsen, Trine Pernille

AU - Illesy, Miklos

AU - Pap, Joszef

AU - Wotschak, Philip

PY - 2023

Y1 - 2023

N2 - 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.

AB - 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.

KW - Faculty of Social Sciences

KW - Algorithmic management

KW - artificial intelligence

KW - collective bargaining

KW - participation

KW - trade unions

U2 - 10.1177/10242589231156515

DO - 10.1177/10242589231156515

M3 - Journal article

VL - 29

SP - 87

EP - 104

JO - Transfer

JF - Transfer

SN - 1024-2589

IS - 1

ER -

ID: 339137183