The University of Southampton
University of Southampton Institutional Repository

Worker voice and algorithmic management in post-Brexit Britain

Worker voice and algorithmic management in post-Brexit Britain
Worker voice and algorithmic management in post-Brexit Britain

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.

algorithmic management, artificial intelligence, collective bargaining, employment rights, Labour law, trade unions, UK, worker voice
1024-2589
37-52
Collins, Philippa
bcccb0e6-e745-48ef-9e0b-1cd67b9bee05
Atkinson, Joe
344fb3a5-85d2-489a-86ef-d657bcb857bc
Collins, Philippa
bcccb0e6-e745-48ef-9e0b-1cd67b9bee05
Atkinson, Joe
344fb3a5-85d2-489a-86ef-d657bcb857bc

Collins, Philippa and Atkinson, Joe (2023) Worker voice and algorithmic management in post-Brexit Britain. Transfer: European Review of Labour and Research, 29 (1), 37-52. (doi:10.1177/10242589221143068).

Record type: Article

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.

Text
collins-atkinson-2023-worker-voice-and-algorithmic-management-in-post-brexit-britain - Version of Record
Available under License Creative Commons Attribution.
Download (138kB)

More information

e-pub ahead of print date: 28 January 2023
Published date: February 2023
Keywords: algorithmic management, artificial intelligence, collective bargaining, employment rights, Labour law, trade unions, UK, worker voice

Identifiers

Local EPrints ID: 484783
URI: http://eprints.soton.ac.uk/id/eprint/484783
ISSN: 1024-2589
PURE UUID: a77cb8d2-b488-451a-8a3b-b5c926534a92
ORCID for Joe Atkinson: ORCID iD orcid.org/0000-0001-5207-2231

Catalogue record

Date deposited: 21 Nov 2023 17:51
Last modified: 18 Mar 2024 04:14

Export record

Altmetrics

Contributors

Author: Philippa Collins
Author: Joe Atkinson ORCID iD

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×