ISO/IEC 42001 AI Management System Awareness
A one-day grounding in ISO/IEC 42001, the first certifiable management system standard for artificial intelligence. Organisations deploying AI are being asked, by customers, regulators and their own boards, to show that the deployment is governed rather than improvised. 42001 is the structure that answers that, and it is deliberately built on the same clause architecture as ISO 27001, 37001 and 37301.
If your organisation already runs a certified management system, most of this will look familiar and the work is smaller than it appears. The morning covers the management system clauses and how the AI-specific requirements sit inside them. The afternoon covers Annex A controls, the AI system impact assessment that has no equivalent in the other standards, and how 42001 relates to Malaysia's national AI governance guidance, the PDPA, and the AI governance training already in the catalogue.
HRD Corp SBL-Khas Claimable
Programme Agenda
9:00 AM - 9:15 AM
Welcome and Programme Overview
Introduction to the session, objectives, and housekeeping.
9:15 AM - 10:15 AM
Why a Management System for AI
What 42001 certifies and what it does not. Why AI governance keeps failing as a policy document and works as a management system. The standard's relationship to ISO 27001, 37301 and 9001, and how much of an existing system can be reused. Who is asking for this in Malaysia, and what a customer security review now expects on AI.
10:15 AM - 10:30 AM
Break
10:30 AM - 11:10 AM
Scope, Context and the Roles You Play
Clause 4 in AI terms: understanding the organisation, interested parties, and the specific problem of defining an AI scope when models are bought rather than built. The role distinctions the standard draws between AI provider, producer, customer, partner, subject and regulator, and why an organisation is usually several of them at once.
11:10 AM - 11:50 AM
Leadership, Policy and the AI Objectives
Clause 5 and 6. Leadership commitment and the AI policy. Setting AI objectives that can be measured. Roles and responsibilities, including who owns a model in production. Planning to address risks and opportunities, and the point at which AI risk stops being an IT concern.
11:50 AM - 12:30 PM
AI Risk Assessment and Risk Treatment
The risk process applied to AI systems specifically: what can go wrong that is unique to a probabilistic system, including bias, drift, hallucination, opacity, misuse and over-reliance. Risk criteria, assessment, treatment and the Statement of Applicability. Where AI risk overlaps with information security risk and where it genuinely does not.
12:30 PM - 1:30 PM
Lunch
1:30 PM - 2:20 PM
The AI System Impact Assessment
The requirement with no counterpart in ISO 27001. Assessing consequences for individuals and groups, not just for the organisation. When an impact assessment is triggered, what it must consider, how it is documented, and how it interacts with a PDPA data protection impact assessment so the two are not done twice.
2:20 PM - 3:15 PM
Annex A Controls
The control set across policy, internal organisation, resources for AI systems, impact assessment, AI system lifecycle, data for AI systems, information for interested parties, use of AI systems, and third-party relationships. Data quality, provenance and labelling. Documentation of design and development. Human oversight, and what meaningful oversight looks like as opposed to a rubber stamp.
3:15 PM - 3:30 PM
Break
3:30 PM - 4:10 PM
Operating, Measuring and Improving
Clauses 7 to 10. Competence and awareness for staff using AI, and how the existing AI in the Workplace training discharges part of it. Monitoring model performance in production. Internal audit and management review for an AI system. Incident handling when a model causes harm, and corrective action that changes a control rather than a document.
4:10 PM - 4:45 PM
Certification, Cost and the Malaysian Context
The certification path and realistic effort for an organisation that already holds another ISO certificate versus one that holds none. How 42001 sits against Malaysia's national guidelines on AI governance and ethics, PDPA obligations where AI processes personal data, and sector guidance for financial institutions. Deciding whether you need certification, alignment, or neither yet.
4:45 PM - 5:00 PM
Wrap-Up and Q&A
Key takeaways, next steps, and close.
Key Outcomes
- Explain what ISO/IEC 42001 certifies and how much of an existing ISO system can be reused
- Define an AI management system scope and identify which standard roles your organisation occupies
- Run an AI risk assessment covering bias, drift, opacity, misuse and over-reliance
- Produce an AI system impact assessment and align it with a PDPA impact assessment
- Navigate the Annex A controls and identify the evidence each requires
- Judge whether your organisation needs certification, alignment, or neither yet
Training Mode Physical / Online / Hybrid / e-learning
HRD Corp SBL-Khas Claimable
Level Awareness level. Suitable for AI and data leads, IT and security managers, compliance, risk and audit staff, and executives sponsoring AI adoption. No prior ISO knowledge required.
Duration 1 Day (8 Hours) | 9:00 AM to 5:00 PM
Venue In-house at the client's premises, or delivered via the client's preferred platform (Microsoft Teams, Zoom, or equivalent)
Assessment A drafted AI management system scope and a first-pass AI system impact assessment for one of the participant's own use cases
Certificate Certificate of Completion issued to all participants upon full attendance