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Integrating Occupational Health and Safety Into the Artificial Intelligence System Life Cycle.

Jared Bierbrier^1,2, Arif Jetha^1,2

¹Institute for Work & Health (IWH), Toronto, Ontario, Canada.

American Journal of Industrial Medicine

|May 12, 2026

Summary

This summary is machine-generated.

Integrating occupational health and safety (OHS) principles into artificial intelligence (AI) development is crucial. This framework ensures AI systems prioritize worker safety and wellbeing throughout their lifecycle.

Keywords:

AI system design algorithmic bias artificial intelligence (AI)occupational health and safety (OHS)risk management

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Area of Science:

Occupational Health and Safety
Artificial Intelligence
Human-Computer Interaction

Background:

Artificial intelligence (AI) systems are increasingly performing complex tasks, offering productivity gains but also introducing novel occupational hazards.
Current AI adoption often overlooks established occupational health and safety (OHS) principles, potentially harming worker health and wellbeing.
There is a critical gap in integrating OHS considerations into the design and implementation phases of AI systems.

Purpose of the Study:

To present a comprehensive framework for embedding OHS principles throughout the entire AI system lifecycle.
To ensure AI development prioritizes worker safety, fairness, and overall wellbeing.
To guide the proactive identification and mitigation of health and safety risks associated with AI in the workplace.

Main Methods:

Outlining key OHS goals for each stage of the AI system lifecycle, from conception to retirement.
Describing practical strategies for OHS integration, including participatory co-design and equitable data handling.
Emphasizing continuous monitoring, risk management, and retraining informed by OHS best practices.

Main Results:

The proposed framework integrates OHS considerations across all AI lifecycle phases.
Practical strategies facilitate the implementation of OHS principles, including worker involvement and transparent deployment.
Collaboration between AI developers, OHS professionals, and worker representatives is highlighted for risk anticipation and management.

Conclusions:

Integrating OHS into AI development is essential for preventing harm and fostering worker trust.
This approach strengthens AI system reliability and promotes sustainable technological adoption.
Proactively embedding OHS ensures AI contributes positively to worker protection and wellbeing in evolving work environments.