AI Auditing and the EU AI Act
A practical introduction for internal auditors to the EU AI Act and the NIST AI Risk Management Framework, with a concrete approach to scoping, testing, and reporting on AI systems.
3 van de 7 modules gratis om uit te proberen · 45 minuten van 2 uur. Je sluit het gratis deel af met een kennistoets en krijgt daarvoor een deelnamebewijs op naam. Geen account nodig.
What you'll work through
- Why AI regulation exists and what an AI system is
Introduction to the need for AI regulation and the core concepts behind an AI system. - Risk-based structure of the AI Act
The four risk categories of the AI Act: from prohibited practices to minimal risk. - Obligations of provider and deployer
Who is responsible for what: the division of roles between provider and deployer. - Governance, transparency, and GPAI
The AI Act's oversight structure, transparency obligations, and the rules for general-purpose AI. - Auditing AI with the NIST AI Risk Management Framework
The NIST AI RMF as a practical complement to the AI Act: Govern, Map, Measure, Manage. - The audit approach: risks, controls, and evidence
Practical structure of an AI audit: scoping, control testing, and gathering appropriate evidence. - Practice: setting up and reporting an AI audit
From audit plan to reporting: carrying out and following up an AI audit end to end.
Probeer de eerste modules gratis
Content last updated: 2026-09-03.