Artificial intelligence is developing at unprecedented speed, creating enormous opportunities alongside new challenges around safety, accountability, transparency, and trust. The EU AI Act represents the world’s first comprehensive legal framework for AI, designed to balance innovation with the protection of fundamental rights. But how does regulation become reality? And what role do standards play in helping organizations develop and deploy trustworthy AI systems?

This Inside AI | The EU AI Act in Practice series takes a practical look at the journey from legislation to implementation. Across the episodes, it explores why the AI Act was introduced, how risk-based regulation works, how standards support compliance, and what organizations need to consider as they prepare for the new regulatory landscape. From harmonised European standards and AI assurance to quality management and risk management, the series examines the tools and approaches that will help turn AI regulation into practice.

This episode explores how organizations can manage AI risk across the lifecycle of an AI system. It examines why risk management is central to the EU AI Act, how EN 18228 can support its practical implementation, common challenges, what acceptable risk means for high-risk AI systems, and the evidence needed to demonstrate effective risk management.

Series | Inside AI - The EU AI Act in Practice

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EN 18228 - AI risk management

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