Overview

This one-day course, "Introduction to Auditing AI," equips internal auditors, audit managers, IT auditors, and AI project stakeholders with the foundational knowledge and practical skills to audit AI systems effectively. Designed for professionals tasked with AI audits or seeking to integrate AI-specific risks into their frameworks, the course bridges the gap between technical, legal, and risk-related dimensions of AI.

Participants will explore AI fundamentals, clarifying its legal and technical definitions through interactive exercises. The core of the course focuses on AI auditing, covering scoping, risk identification, and methodologies for auditing both third-party and internally developed systems. Practical exercises reinforce learning, while a dedicated session on AI Act compliance ensures auditors understand risk levels, roles, and obligations under the regulation.

By the end, attendees will be prepared to assess AI systems for compliance, identify unique risks, and engage stakeholders effectively. The end goal is to empower participants to conduct thorough, AI-specific audits in their organizations.

Date : 25 June 2026

Time: 9am – 5pm

Language: English

CPE points: 7

Deadline to register: 19 June 2026

Trainer name: Jens Meijen

Type of session (Online training/ In-Person Training / Webinar): In-person training

Who should attend?

Internal auditors interested in AI auditing or tasked with conducting AI audits, seeking to understand both the technical and legal dimensions of AI systems

Internal audit managers looking for ways to integrate AI-specific risks and compliance requirements into their audit frameworks

IT auditors with a technical background seeking to understand the regulatory & risk aspects of AI audits

AI project managers and developers who want to understand audit expectations and prepare their systems for internal or external scrutiny

Course description (1-day-course)

· AI fundamentals

o What is AI, legally?

o What is AI, technically?

o Exercise: is it AI?

· AI auditing

o Scoping AI audits: objectives, dimensions and focus areas

o AI-specific risks

o Auditing third-party systems (with exercises)

o Auditing internally developed systems (with exercises)

o Collecting information from stakeholders: tips and tricks

· AI Act compliance auditing

o The AI Act: risk levels, roles, obligations

o Auditing for AI Act compliance (with exercises)

Trainer bio

Jens Meijen

Dr. Jens Meijen is an experienced AI auditor and consultant in AI governance, risk, and compliance bridging the gap between the legal, technical, and business aspects of AI. He has broad AI auditing and risk management expertise in finance, critical infrastructure, government, technology, and healthcare, and is a trainer and regular keynote speaker at several institutions, including the Institute of Internal Auditors, Febelfin Academy (the Belgian federation of financial institutions), Guberna (the Belgian institute for board member education), and more. He also brings an international perspective as a former Fulbright Fellow at Stanford University, a Europaeum Scholar in Oxford University’s Europaeum Network, and as a Global Policy Fellow at the Institute of Technology and Society in Rio de Janeiro.