Responsible Adoption of Generative AI in Occupational Safety & Health
From drafting safety documentation to analysing incident trends, Generative AI offers efficiency gains to practitioners, but human oversight and accountability remain essential.
What is Generative AI?
Generative Artificial Intelligence (Generative AI or Gen AI) refers to a class of artificial intelligence systems designed to create new content such as text, images, audio, or code based on patterns learned from large datasets. Unlike traditional AI, which primarily analyses or classifies existing data, Generative AI can produce original outputs that resemble human-generated material.
Key characteristics:
- Content Creation: Generates documents, visuals, or other outputs from prompts.
- Contextual Understanding: Uses natural language processing to interpret instructions and produce relevant results.
- Adaptability: Can tailor outputs to specific styles, formats, or requirements.
Generative AI is widely used for tasks like drafting reports, creating training materials, summarising information, and automating repetitive content creation processes. However, it requires human oversight to ensure accuracy, compliance, and appropriateness.
Three Ways Generative AI Can Support OSH (with caveats)
- Drafting OSH Documentation: Generative AI can speed up the creation and review of safety statements, risk assessments, and procedures, but outputs must be reviewed by a competent person. AI-generated content may lack context or misinterpret regulations, so human validation is mandatory.
- Developing Training Materials: Generative AI can produce scenario-based training modules and quizzes, but accuracy and relevance depend on the quality of prompts and oversight. There is a risk of oversimplifying complex legislation or introducing bias, so content should be checked before use.
- Summarising Incident Data: Generative AI can help summarise reports and identify patterns, but it cannot replace formal risk analysis. Predictive insights from AI should be treated as advisory only, not as definitive safety decisions.
Legal Considerations
Before deploying Generative AI, employers must comply with key legislative frameworks:
Safety, Health and Welfare at Work Act 2005 (No. 10 of 2005)
- Employers must appoint a competent person with sufficient training, experience, and knowledge to manage health and safety.
- Generative AI can assist with drafting policies or analysing risks, but legal responsibility remains with the (human) competent person.
- AI is a tool, not a substitute for competence.
GDPR – Regulation (EU) 2016/679
- Organisations processing personal data must comply with GDPR.
- No confidential or health-related data should be input into AI tools unless anonymised and secured.
- Full compliance remains the employer’s responsibility.
EU AI Act – Regulation (EU) 2024/1689
- Applies to all AI systems used in the EU, including Generative AI.
- Requires transparency, including disclosure that content is AI-generated and safeguards against misleading outputs.
- Legal responsibility remains with the employer, not the AI provider.
- Human judgement and oversight are mandatory.
Conclusion
Generative AI offers efficiency gains and innovative solutions, but it is not a shortcut to compliance or competence. Employers must treat AI as a support tool, not a decision-maker, and maintain robust human oversight. The applicable legal frameworks SHWW Act, GDPR, and the EU AI Act and others make it clear that accountability cannot be delegated to technology. Responsible adoption means balancing innovation with governance, ensuring safety and compliance remain at the core of every decision.
Ibec Academy offers a specialised course, Generative AI for EHS, designed to help professionals understand how AI can support safety management while maintaining compliance with the relevant legislation. The programme focuses on practical applications, risk considerations, and governance frameworks, ensuring participants can leverage Generative AI responsibly without compromising legal or ethical standards.
Course link: Generative AI for EHS
Next session: 27 February 2026
Who should attend: Anyone with responsibility for managing Occupational Safety & Health/ Environment Health and Safety (EHS)
Elaine Bowers
Senior Commercial EHS Services Executive
Ibec
