Auditing ISO 42001 Annex A Controls
Auditing ISO 42001 Annex A Controls
Published 9/2025
Duration: 4h 48m | .MP4 1280x720 30 fps(r) | AAC, 44100 Hz, 2ch | 1.73 GB
Genre: eLearning | Language: English
Published 9/2025
Duration: 4h 48m | .MP4 1280x720 30 fps(r) | AAC, 44100 Hz, 2ch | 1.73 GB
Genre: eLearning | Language: English
Step-by-step audit of ISO/IEC 42001:2023 AI management controls with templates, case study, and checklists
What you'll learn
- Audit AI management systems using ISO/IEC 42001:2023 controls
- Design audit checklists aligned with Annex A control requirements
- Evaluate AI policies, risk assessments, and stakeholder evidence
- Apply AI audit techniques through a complete case study walkthrough
Requirements
- Basic understanding of ISO management systems is helpful but not required
Description
This course contains the use of artificial intelligence. Led by Dr. Amar Massoud, a seasoned expert with decades of academic and professional experience, it combines cutting-edge AI support with human insight to deliver content that is precise, practical, and easy to follow. You’ll gain the clarity of structured learning and the confidence of being guided by a recognized authority.
Are you ready to audit AI management systems using the world’s first international AI-specific standard? This course provides a practical, step-by-step framework for auditing theAnnex A controls of ISO/IEC 42001:2023, the groundbreaking AI Management System standard designed to ensure transparency, fairness, accountability, and governance in artificial intelligence deployments.
Whether you're alead auditor, compliance officer, risk manager, AI governance consultant, or internal audit professional, this course is your hands-on guide to performing detailed audits of ISO 42001’s Annex A control requirements. You’ll learn how toplan audits, assess documentation, interview stakeholders, and report findingsusing structured templates and real-life scenarios.
The course includes a complete case study based onInfoSure Ltd., a fictional AI-as-a-service company operating in healthcare, finance, and logistics. Through this model, you’ll simulate realistic audits, review sample AI policies, evaluate impact assessments, and examine lifecycle controls such as event logging, model validation, data provenance, and more.
What you’ll get in this course:
In-depth audit walkthroughs for every Annex A control group
Audit checklists, interview templates, document review guides
Detailed breakdowns of controls covering AI policy, ethics, roles, transparency, data quality, and responsible use
Risk-based prioritization techniques to focus on high-impact controls
Final audit reporting strategies, including corrective actions and follow-up
By the end of this course, you’ll be able toconfidently audit AI management systemsin line with ISO 42001:2023, making you an indispensable resource for organizations navigating AI compliance and risk.
Who this course is for:
- This course is ideal for AI auditors, ISO consultants, GRC professionals, risk managers, compliance officers, and tech leaders seeking to audit ISO 42001 controls.
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