How should regulatory teams use AI inside a Quality Management System (QMS)? And why are hallucinations one of the biggest concerns in regulatory AI?
In this episode of The Augmented Professional, we break down how AI tools can be safely integrated into regulatory workflows — with a clear focus on validation, human oversight, and risk management.

What is the biggest risk of using AI in regulatory affairs?
The main risk is not just AI hallucinations, but human over-reliance on AI outputs without proper validation. Even highly accurate systems can lead to errors if professionals stop critically reviewing results over time.

How do you validate AI in a QMS?
Unlike traditional software, AI systems are non-deterministic. Validation focuses on:
- Consistency of outcomes
- Accuracy of reasoning
- Human verification
- Risk-based assessment

Key topics covered:
- Why AI hallucinations matter in regulatory affairs
- The real risk isn’t just AI errors, it’s over-reliance by humans
- How to validate non-deterministic AI systems
- The role of human-in-the-loop workflows
- Differences between software validation vs AI validation
- How to integrate AI into ISO 13485 QMS processes
- AI policy, governance, and EU AI Act readiness

One critical insight: hallucinations alone are not the biggest risk, failure to validate outputs consistently is.

This session is essential for professionals in:
- Regulatory Affairs (RA)
- Quality Assurance (QA)
- Medical Devices
- Digital Health & AI Governance