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BEGIN:VEVENT
UID:20260530T223822Z - 92395@eu553a.odoo.com
DTSTART;TZID=Europe/Luxembourg:20260625T090000
DTEND;TZID=Europe/Luxembourg:20260625T170000
CREATED:20260530T223822Z
DESCRIPTION:<a href="https://www.iia.lu/event/introduction-to-auditing-ai-1
 24">Introduction to Auditing AI</a>\nOverview This one-day course\, "Intro
 duction to Auditing AI\," equips internal auditors\, audit managers\, IT a
 uditors\, and AI project stakeholders with the foundational knowledge and 
 practical skills to audit AI systems effectively. Designed for professiona
 ls tasked with AI audits or seeking to integrate AI-specific risks into th
 eir frameworks\, the course bridges the gap between technical\, legal\, an
 d risk-related dimensions of AI. Participants will explore AI fundamentals
 \, clarifying its legal and technical definitions through interactive exer
 cises. 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\, whi
 le a dedicated session on AI Act compliance ensures auditors understand ri
 sk levels\, roles\, and obligations under the regulation. By the end\, att
 endees will be prepared to assess AI systems for compliance\, identify uni
 que risks\, and engage stakeholders effectively. The end goal is to empowe
 r participants to conduct thorough\, AI-specific audits in their organizat
 ions. Date : 25 June 2026 Time: 9am – 5pm Language: English CPE points: 
 7 Deadline to register: 19 June 2026 Trainer name: Jens Meijen Type of ses
 sion (Online training/ In-Person Training / Webinar): In-person training W
 ho should attend? Internal auditors interested in AI auditing or tasked wi
 th conducting AI audits\, seeking to understand both the technical and leg
 al dimensions of AI systems Internal audit managers looking for ways to in
 tegrate AI-specific risks and compliance requirements into their audit fra
 meworks 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 in
 ternal or external scrutiny [...]
DTSTAMP:20260530T223822Z
LOCATION:European Court of Auditors\, rue Alcide De Gasperi 12\, 1615 Luxem
 bourg\, Luxembourg
SUMMARY:Introduction to Auditing AI
X-ALT-DESC;FMTTYPE=text/html:<a href="https://www.iia.lu/event/introduction
 -to-auditing-ai-124">Introduction to Auditing AI</a>\nOverview This one-da
 y course\, "Introduction to Auditing AI\," equips internal auditors\, audi
 t managers\, IT auditors\, and AI project stakeholders with the foundation
 al knowledge and practical skills to audit AI systems effectively. Designe
 d for professionals tasked with AI audits or seeking to integrate AI-speci
 fic risks into their frameworks\, the course bridges the gap between techn
 ical\, legal\, and risk-related dimensions of AI. Participants will explor
 e AI fundamentals\, clarifying its legal and technical definitions through
  interactive exercises. The core of the course focuses on AI auditing\, co
 vering scoping\, risk identification\, and methodologies for auditing both
  third-party and internally developed systems. Practical exercises reinfor
 ce learning\, while a dedicated session on AI Act compliance ensures audit
 ors understand risk levels\, roles\, and obligations under the regulation.
  By the end\, attendees will be prepared to assess AI systems for complian
 ce\, identify unique risks\, and engage stakeholders effectively. The end 
 goal is to empower participants to conduct thorough\, AI-specific audits i
 n their organizations. Date : 25 June 2026 Time: 9am – 5pm Language: Eng
 lish CPE points: 7 Deadline to register: 19 June 2026 Trainer name: Jens M
 eijen Type of session (Online training/ In-Person Training / Webinar): In-
 person training Who should attend? Internal auditors interested in AI audi
 ting or tasked with conducting AI audits\, seeking to understand both the 
 technical and legal dimensions of AI systems Internal audit managers looki
 ng for ways to integrate AI-specific risks and compliance requirements int
 o their audit frameworks IT auditors with a technical background seeking t
 o understand the regulatory & risk aspects of AI audits AI project manager
 s and developers who want to understand audit expectations and prepare the
 ir systems for internal or external scrutiny [...]
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