Advanced Robotics and Automation: What Are the Risks and Opportunities for Occupational Safety and Health?
This policy brief explores the occupational safety and health (OSH) risks and opportunities associated with advanced robotics and automation in the workplace. It analyzes human-robot interaction across four main dimensions: function allocation, task design, interaction design, and operation and supervision. The document provides recommendations on worker involvement, upskilling, and adherence to principles such as 'human in control' and transparency during robotic implementation.
Summary and content fields are drawn from the document text and are pending editorial review.
Who issued it
Who it governs
This brief is for policymakers, employers, workers, and researchers looking to understand and manage the OSH implications of introducing advanced robotics into the workplace.
What the document contains
The document addresses the integration of advanced robotics and automation in workplaces, detailing the categorization of robotic systems, their impact on tasks and sectors, and the OSH dimensions of human-robot interaction. It outlines specific physical and psychosocial risks and opportunities, concluding with practical recommendations for implementation.
The document does not provide legally binding regulations, compliance enforcement mechanisms, or formal technical safety standards for robot manufacturing.
- Advanced robotics and automation combine AI with robotic devices to increase autonomy and functionality, creating new opportunities and challenges for occupational safety and health.
- Human-robot interaction involves four key dimensions: function and task allocation, task design, interaction design, and operation and supervision.
- Robotic systems can improve physical health by taking over dangerous or heavy tasks, but inadequate design can lead to psychosocial risks such as work intensification and deskilling.
- Technological coupling and robotic-determined work rates can cause adverse mental health effects, loss of job control, and job insecurity.
- Successful implementation requires worker involvement, skill-development policies, and adherence to the 'human in control' and transparency principles.
· The state of advanced robotics · Impact on task, jobs and sectors · OSH relevant dimensions in human-robot interaction · Function allocation and task design · Interaction design · Operation and supervision · Opportunities for OSH · OSH risks · Recommendations
How it scores
Each score is backed by a quote verified against the document text. Editorial review has not yet confirmed them.
Accountability
3/5Clear responsibility for AI outcomes
Responsibility and accountability need to be clarified when it comes to human-robot interaction.
Operation and supervision
screening score · 2026-10-24
Fairness
2/5Non-discrimination and equitable treatment
There are a number of psychological aspects to consider, like perceived process control, mental effort, perceived fairness, task identity and acceptance of the allocation result
Function allocation and task design
screening score · 2026-10-24
Human Oversight
4/5Humans remain in control of consequential decisions
The ‘human in control’ principle should be regarded as a leading design guideline.
Opportunities for OSH
screening score · 2026-10-24
Privacy
0/5Protection of personal data and private life
N/A
screening score · 2026-10-24
Transparency
4/5Openness about how AI systems work and are used
Furthermore, the ‘transparency’ principle proves to be of major importance. Actions and decisions as well as system capabilities and limitations of advanced robots need to be transparent and explainable to the human.
Recommendations
screening score · 2026-10-24
Enforcement
0/5Consequences and compliance mechanisms with real force
Recommendations
screening score · 2026-10-24
Impact Assessment
3/5Required assessment of an AI system's risks/impacts before or during use
Introducing advanced robotics to a workplace demands ample consideration of both potential risks and opportunities for OSH.
Recommendations
screening score · 2026-10-24