Home > The news of EUROGIP and occupational risks in Europe >
How can algorithmic and AI-based worker management systems improve productivity without adversely affecting worker safety and health (OSH)? A new EU-OSHA report compares the approaches of two automotive companies, one in Italy and the other in Belgium.
Over the past decade, studies have explored the impact of algorithms on the organisation of work, particularly in the platform economy, and its implications for OHS. But the effects of digitisation in traditional workplaces such as manufacturing remain little studied.
Both companies have adopted new technologies as part of a lean manufacturing approach aimed at increasing productivity and reducing waste. While there were significant differences in managerial approaches, the case studies highlighted the following lessons:
- Participative implementation: involving workers in the development of digital tools improves their acceptance, satisfaction and safety at work.
- Balance between efficiency and well-being: it is crucial to reconcile process optimisation and employee well-being through training, job rotation and proactive OHS management.
- Data governance: transparent and fair data management protects privacy and strengthens employee confidence.
- Continuous improvement: incorporating employee feedback enables effective adaptation and improved security.
- Digital risk assessment: a comprehensive analysis of the physical, psychosocial and organisational risks associated with technology is essential.
