Cefaliello, Aude and Moore, Phoebe V and Donoghue, Robert (2023) Making algorithmic management safe and healthy for workers: addressing psychosocial risks in new legal provisions. European Labour Law Journal, 14 (2). pp. 192-210. DOI https://doi.org/10.1177/20319525231167476
Cefaliello, Aude and Moore, Phoebe V and Donoghue, Robert (2023) Making algorithmic management safe and healthy for workers: addressing psychosocial risks in new legal provisions. European Labour Law Journal, 14 (2). pp. 192-210. DOI https://doi.org/10.1177/20319525231167476
Cefaliello, Aude and Moore, Phoebe V and Donoghue, Robert (2023) Making algorithmic management safe and healthy for workers: addressing psychosocial risks in new legal provisions. European Labour Law Journal, 14 (2). pp. 192-210. DOI https://doi.org/10.1177/20319525231167476
Abstract
The increasing deployment of algorithmic management in the workplace poses significant occupational safety and health risks for workers. In this article, we argue that existing and proposed EU regulatory frameworks are inadequate to address these risks, especially psychosocial risks, created or exacerbated by algorithmic management. While existing and proposed regulatory frameworks have significant implications for employers’ obligations to mitigate these risks, we identify several psychosocial risks created or exacerbated by algorithmic management and show how the current and proposed regulatory frameworks fall short of adequately addressing these risks. We observe that these frameworks, based largely in the ‘safety by design’ tradition, focus on the design phase of the technology lifecycle. This focus does not adequately address risks that arise in the use or deployment stage of algorithmic management. There is therefore a need for a standalone piece of legislation at the EU level on algorithmic management. To address these shortcomings, we outline suggestions for provisions necessary toward safe and healthy digitally managed work.
Item Type: | Article |
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Uncontrolled Keywords: | Algorithmic management, artificial intelligence (AI), digitalisation, occupational safety and health (OSH), psychosocial risks, safety by design, workplace |
Divisions: | Faculty of Social Sciences Faculty of Social Sciences > Essex Business School |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 22 Mar 2023 18:42 |
Last Modified: | 24 Oct 2023 15:21 |
URI: | http://repository.essex.ac.uk/id/eprint/35233 |
Available files
Filename: OSH & Alg M Cefaliello Moore Donoghue(1).pdf