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

IF 2.9 3区 社会学 Q1 INDUSTRIAL RELATIONS & LABOR
O. Molina, Florian Butollo, C. Mako, A. Godino, Ursula Holtgrewe, Anna Illsoe, Sander Junte, T. Larsen, Miklós Illésy, Jószef Pap, Philip Wotschack
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引用次数: 3

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.
编码需要两个方面:集体谈判和人工智能的比较分析
企业对人工智能(AI)和算法管理机制的扩展,导致工会要求规范其使用的呼声日益高涨。本文探讨了集体谈判和员工参与机制在规范公司使用人工智能和算法方面的作用。这是通过对欧盟一级以及四个具有不同劳资关系模式的国家(丹麦、德国、匈牙利和西班牙)的制度发展进行比较分析来完成的。文章表明,在社会伙伴的角色以及用于应对人工智能和算法管理挑战的保护机制和参与机制的组合方面,各国之间存在显著差异。然而,该分析也有助于强调现有制度和实践在应对与人工智能和算法管理相关的挑战的复杂性方面的局限性。这就需要在欧盟和国家层面进行制度调整和额外的监管努力,以支持集体谈判。
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来源期刊
Transfer: European Review of Labour and Research
Transfer: European Review of Labour and Research INDUSTRIAL RELATIONS & LABOR-
CiteScore
4.60
自引率
7.10%
发文量
35
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