European Agency for Safety and Health at Work
Óscar Molina, Maria Caprile, Juan Arasanz, Pablo Sanz de Miguel, David Moral-Martín
Worker participation and representation: the impact on risk prevention of AI worker management systems
Report
Table of Contents
Executive summary
1 Introduction
2 Objectives and methods
2.1 Objectives
2.2 Methodology
3 Conceptual framework
3.1 AIWM
3.2 Psychosocial factors
3.3 Industrial democracy
4 Review of the literature
4.1 RQ1: Which are the main psychosocial factors related to the use of AIWM in the workplace?
4.2 RQ2: Which are the main obstacles facing worker representation structures to identify and prevent psychosocial risks stemming from AIWM?
4.3 RQ3: How are governments and social partners regulating the use of AIWM technologies to prevent psychosocial risks derived from their use?
5 Case examples of governance of psychosocial risks in the context of algorithmic management
5.1 Company case studies
5.1.1 A Swedish mining company
5.1.2 A manufacturing company in Denmark
5.1.3 Home-delivered food service providers in Spain
5.2 Regulatory case studies
20 5.2.1 Adaptation of worker participation structures in Germany
20 5.2.2 Practical guide on algorithmic management in Spain
6 Conclusions and policy pointers
References
fonte: hosha.europa.eu
© European Agency for Safety and Health at Work, 2024
Reproduction is authorised provided the source is acknowledged.