AI governance: an urgent need

The growing adoption of AI systems in business processes is transforming how organisations manage technology. It is no longer enough to demonstrate that a system works correctly; organisations must evidence that design, development, deployment and operation are carried out in a controlled, safe and responsible manner throughout the entire lifecycle.

ISO/IEC 42001:2023 establishes the framework for implementing an AI Management System (AIMS), providing an auditable and traceable structure to govern AI systems and manage their specific risks.

AI risks we manage

  • Algorithmic bias in automated decision-making
  • Lack of transparency and interpretability of models
  • Model behaviour drift over time
  • Inappropriate use of training data and privacy concerns
  • Impact on fundamental rights of individuals
  • Excessive dependence on external AI providers
  • Non-compliance with the EU AI Act and derived regulations

ISO 27001 + ISO 42001: Integrated Management System

Joint implementation of ISO 27001 and ISO 42001 creates an Integrated Management System (IMS) that coherently addresses both information security and AI governance. Both standards share the High Level Structure (HLS), facilitating integration and avoiding duplication.