The rapid evolution of artificial intelligence (AI) is reshaping workplace safety and health, presenting challenges and opportunities in an increasingly digital world. Witnessing the shared commitment to exploring these evolving issues is encouraging, particularly as AI-driven worker management systems become more prevalent across various industries.
Understanding AI-Based Worker Management Systems
AI-based worker management systems are digital tools that collect and analyze vast amounts of data from various sources, such as PCs, mobile devices, and workplace sensors. These systems can be categorized into two main types:
- Automated Decision-Making Systems – These systems operate independently, making decisions without human intervention. While they enhance efficiency, their implementation requires careful consideration to ensure fairness and compliance with labour regulations.
- Semi-Automated Systems – In these systems, AI-generated recommendations are reviewed by human managers before final decisions are made. This approach allows for a balance between automation and human oversight.
These technologies are used in various applications, including:
- Labor Forecasting – AI predicts workforce needs based on customer demand and weather conditions, optimizing shift schedules.
- Performance Evaluation – AI assesses worker efficiency by tracking task completion times and other productivity metrics.
- HR Management Support – AI assists in recruitment, training, and workforce allocation to enhance operational efficiency.
Adoption and Impact in the EU
The facts from EU-OSHA show the adoption of AI-driven worker management systems across the European Union. Key findings indicate:
- While adoption is still relatively low, there is a growing trend, particularly in large companies managing extensive workforces.
- These systems are predominantly used in industries involving manual and repetitive tasks, such as warehousing, professional cleaning, healthcare, banking, and call centres.
- The COVID-19 pandemic significantly accelerated the deployment of AI-based worker management technologies, with a sharp increase observed in 2020.
Worker Perspectives and Health Implications
While AI-driven systems enhance efficiency, they also raise concerns related to:
- Job Security – Automation may lead to workforce reductions in specific sectors.
- Workplace Stress – Continuous monitoring and performance tracking can increase pressure on employees.
- Data Privacy – The extensive use of personal and professional data necessitates stringent privacy regulations.
Moving Forward
As AI continues integrating into workplace management, it is crucial to balance technological advancement and worker well-being. Policymakers, employers, and researchers must collaborate to ensure that AI-driven systems enhance productivity while safeguarding employee rights and health. Ongoing research and discussions, such as this campaign, play a vital role in shaping the future of AI in workplace safety and health.
For more information on the campaign, visit the official EU OSHA page: Healthy Workplaces Campaign.
The Federation of European Ergonomics Societies (FEES) is a proud partner of the “Safe and Healthy Work in the Digital Age 2023-2025” EU OSHA campaign.