Worker participation and representation: the impact on risk prevention of AI worker management systems
Molina, Oscar ; Caprile, Maria ; Arasanz Díaz, Juan ; Sanz de Miguel, Pablo ; Moral-Martin, David
EU-OSHA - Bilbao
2024
31 p.
artificial intelligence ; psychosocial risks ; workers participation ; workers representation ; prevention
Technology
https://doi.org/10.2802/7488542
English
Bibliogr.
"This report analyses artificial intelligence-based worker management (AIWM) systems in relation to workers' psychosocial risks and the role of worker representation structures in preventing such risks. It draws on existing literature to examine the consequences stemming from AIWM and investigates how workers' representatives can prevent and mitigate unwanted outcomes. However, worker representation can face obstacles due to the powerful yet enigmatic nature of AIWM as well as the power balance between employers and employees per sector, where further research would be required to find solutions."
Digital
ISBN (PDF) : 978-92-9402-343-8
The ETUI is co-funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the ETUI.