Worker voice and algorithmic management in post-Brexit Britain

Author:

Collins Philippa1,Atkinson Joe2

Affiliation:

1. University of Bristol, UK

2. University of Sheffield, UK

Abstract

In this article, we consider the legal frameworks that enable workers to influence the deployment of new workplace technologies in the United Kingdom and the future of worker voice and algorithmic management in a post-Brexit Britain. The article demonstrates how the legal mechanisms that facilitate voice at work, primarily collective bargaining via trade unions, can be leveraged to influence employers’ choices regarding algorithmic management. However, it also identifies both familiar and novel challenges regarding using these routes to ‘negotiate the algorithm’. The article then outlines major regulatory proposals emerging from the EU that would establish greater co-determination in this context and assesses their relevance to the UK labour market. It concludes by considering whether specific regulatory measures are necessary in the UK context to enhance the exercise of worker voice regarding the deployment of algorithmic management and close the widening gap between the position of UK and EU workers.

Publisher

SAGE Publications

Subject

Organizational Behavior and Human Resource Management,Industrial relations

Reference47 articles.

1. ‘Technology Managing People’: An Urgent Agenda for Labour Law

2. Atkinson J, Collins P (in press) Algorithmic management and the risk to rights at work. In: Temperman J, Quintavalla A (eds) Artificial Intelligence and Human Rights. Oxford: Oxford University Press. Accepted version available at: https://research-information.bris.ac.uk/en/publications/artificial-intelligence-and-human-rights-at-work (accessed 28 November 2022).

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Introduction to theTransferspecial issue. Regulating AI at work: labour relations, automation, and algorithmic management;Transfer: European Review of Labour and Research;2023-02

2. Algorithmic management and collective bargaining;Transfer: European Review of Labour and Research;2022-12-09

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