Worker participation and representation: the impact on risk prevention of AI worker management systems

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.