Risks and opportunities of AI-based worker management systems in an automotive manufacturing plant in Belgium

This case study explores how AI-based worker management systems at an automotive manufacturing company based in Belgium present both opportunities and risks for occupational safety and health. 

Production at the plant relies heavily on gathering and processing data to control the assembly line, logistics and allocation of tasks, while monitoring worker performance and quality control. This high level of digitalised management operations impacts worker autonomy and work intensification. The performance monitoring system also raises concerns about worker privacy and the potential for increased workload and stress.