The University of Southampton
University of Southampton Institutional Repository

Algorithmic management and a new generation of rights at work

Algorithmic management and a new generation of rights at work
Algorithmic management and a new generation of rights at work
Technology has revolutionised the world of work over the past 30 years. Now its radically changing the way that people are managed at work, from how they are hired and fired to how their work is allocated, monitored and evaluated. The increasing use of complex algorithmic management tools to automate or augment functions traditionally carried out by human managers poses a significant threat to workers’ rights, working conditions, and ability to exercise their agency in the workplace.

In this report Dr Joe Atkinson and Dr Philippa Collins argue that existing employment law frameworks are inadequate to meet the challenges posed be these applications of ‘artificial intellegence’ in the workplace. They reject a laissez faire approach to regulating new technologies in the workplace and instead make the case for proactive legal reforms that are urgently needed for the governance of AI at work. The proposed framework gives workers a genuine say in how algorithmic management systems are used and implemented. It also provides workers with the rights needed to protect against, and ensure appropriate accountability for, the potential harms of these technologies.

Institute of Employment Rights
Atkinson, Joe
344fb3a5-85d2-489a-86ef-d657bcb857bc
Collins, Philippa
b68f7623-cbe4-449b-9cad-c34cb9180e1d
Atkinson, Joe
344fb3a5-85d2-489a-86ef-d657bcb857bc
Collins, Philippa
b68f7623-cbe4-449b-9cad-c34cb9180e1d

Atkinson, Joe and Collins, Philippa (2024) Algorithmic management and a new generation of rights at work Institute of Employment Rights 44pp.

Record type: Monograph (Project Report)

Abstract

Technology has revolutionised the world of work over the past 30 years. Now its radically changing the way that people are managed at work, from how they are hired and fired to how their work is allocated, monitored and evaluated. The increasing use of complex algorithmic management tools to automate or augment functions traditionally carried out by human managers poses a significant threat to workers’ rights, working conditions, and ability to exercise their agency in the workplace.

In this report Dr Joe Atkinson and Dr Philippa Collins argue that existing employment law frameworks are inadequate to meet the challenges posed be these applications of ‘artificial intellegence’ in the workplace. They reject a laissez faire approach to regulating new technologies in the workplace and instead make the case for proactive legal reforms that are urgently needed for the governance of AI at work. The proposed framework gives workers a genuine say in how algorithmic management systems are used and implemented. It also provides workers with the rights needed to protect against, and ensure appropriate accountability for, the potential harms of these technologies.

Text
Atkinson Collins Algorithmic Management - Version of Record
Download (747kB)

More information

Published date: 6 June 2024

Identifiers

Local EPrints ID: 490722
URI: http://eprints.soton.ac.uk/id/eprint/490722
PURE UUID: ca99f193-dc42-4141-bd54-ba701051547e
ORCID for Joe Atkinson: ORCID iD orcid.org/0000-0001-5207-2231

Catalogue record

Date deposited: 04 Jun 2024 16:52
Last modified: 26 Oct 2024 02:08

Export record

Contributors

Author: Joe Atkinson ORCID iD
Author: Philippa Collins

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.

×