What ISO/IEC 42001 means for pharmaceutical quality teams
ISO/IEC 42001:2023 is the first international management-system standard for artificial intelligence, and it is starting to appear in supplier questionnaires, tender requirements and internal governance policies across regulated industries — including pharma and biotech, where AI is increasingly used in areas like manufacturing analytics, pharmacovigilance signal detection and quality-data review.
For a quality department, the standard is easiest to understand as a cousin of ISO 9001: it asks an organisation to define the scope of its AI use, assess AI-specific risks (bias, data quality, explainability, human oversight), and run that through a documented management system with clear accountability — the same discipline already familiar from GMP-style quality systems, applied to a new object.
The practical starting point is rarely a full certification project. It is usually a scoped gap assessment: which AI systems are already in use or planned, who owns the risk for each, and how far current documentation is from what an ISO/IEC 42001 auditor would expect to see. That assessment is also the fastest way to find out whether the NIST AI RMF and EU AI Act's risk-tiering applies to any of those systems, since the two frameworks overlap significantly in practice.
Have a concrete AI use case in your quality or regulatory function? Get in touch for a scoped conversation.