Training Module
Auditing AI Risk & Impact Management
Evaluate harm, impact & risk reasoning, intended use alignment, and decision traceability in ISO/IEC 42001
Training module overview
In ISO/IEC 42001 audits, weak AI risk and impact management rarely fails because an organisation used the wrong framework. It fails because the organisation cannot show a coherent line from intended use and stakeholders to impact reasoning, risk decisions, and documented acceptance of trade-offs. This creates false assurance: the system looks controlled on paper, while key harms, misuses, and operational realities remain unaddressed.
This standard-specific auditing module shows how to audit the quality of reasoning and documentation behind AI risk and impact decisions, without re-teaching generic risk methods or generic audit craft. It is designed to stand on its own in the ISO/IEC 42001 auditor pathway and is applicable to internal auditors and third-party auditors, including certification-body and independent assurance contexts.
Applicable environments
This module focuses on auditing clauses and controls that are specific to ISO/IEC 42001. It is intended for auditors working with organisations operating an AI management system (AIMS) according to this standard.
Target audience
Aspiring auditors who want to audit AI management systems against ISO/IEC 42001 following best practices
Practising ISO/IEC 42001 auditors who want to strengthen their audit knowledge, judgement, and effectiveness
Decision support
Is this module for you?
It is a good fit if you…
seek to audit the quality of AI risk and impact reasoning.
are aiming to judge alignment between intended use, impacts, and decisions.
focus on traceability from risk reasoning to documented controls.
are prepared to test whether decisions hold up under real use conditions.
expect to strengthen audit conclusions on AI risk governance.
If most of the points above apply, this module is likely a good fit.
It may not be the best fit if you…
prefer to design AI risk frameworks or impact assessment methods.
are looking for guidance on harm analysis or ethical risk modelling.
focus primarily on managing or mitigating AI risks yourself.
do not intend to audit AI risk and impact management under ISO/IEC 42001.
Agenda
AI risk and impact management in an ISO/IEC 42001 audit
Testing harm and impact reasoning
Intended use integrity and stakeholder alignment
Decision documentation quality
Evidence trails, sampling focus, and red flags
Case-based audit simulation
Show detailed agenda...
Learning outcomes
Key outcomes
Evaluate whether harm/impact reasoning is specific, complete enough for decisions, and consistent across artefacts
Test traceability from intended use and stakeholder considerations to impact assessment, risk decisions, and controls
Assess whether risk and impact decisions are documented in a way that supports accountability and later review
Additional capabilities
Identify and prioritise evidence sources that demonstrate real operation (not just planned intent)
Recognise common ISO/IEC 42001 risk/impact audit red flags that indicate false assurance
Define focused audit tests for decision quality without substituting for generic audit planning or interviewing techniques
Additional benefits
Learning materials
Slide deck
Participant workbook
Templates & tools
Practical, reusable artefacts to apply the module directly to your organisation.
Audit interview planning tool
Documented information checklist
Sampling tool
Audit analysis worksheets
Failure pattern library
Supporting AI prompt set
Confirmation
Certificate of completion
Module ID
HAM-AI-A-01
Discipline
ISO clause
6: Planning
Audience
Auditor
Languages
English
Delivery
Live virtual
Duration
7 h
List price
CHF 550
Excl. VAT. VAT may apply depending on customer location and status.
Delivery & learning format
Virtual live teaching
This module is delivered live, with a strong focus on discussion, practical application, and direct interaction with the instructor.
Sessions work through realistic examples, clarify concepts in context, and apply methods directly to participants’ organisational realities.
Custom delivery options
For organisations with specific constraints or learning objectives, the module can be adapted in format or scope, including in-house delivery and contextualised case material.
For an optimal learning experience
Preparation guidance
This module is designed as part of a modular training approach. Topics are deliberately distributed across modules and are not repeated in full, in order to avoid unnecessary redundancy. Each module is self-contained and can be taken on its own. Where prior knowledge or experience is helpful, this is indicated below so you can decide whether any preparation is useful for you.
Assumed background
This module assumes auditors can already apply core audit evidence and judgement concepts and are familiar with management system basics. It does not teach generic audit craft or generic risk methodology.
Helpful background includes:
Practical ability to evaluate evidence, sampling rationale, and professional judgement
General understanding of how management systems use documented information to support governance decisions
Preparatory modules
Foundational modules (depending on background)
Useful if you are new to the underlying concepts or want a shared baseline before attending this module.
Supporting modules (optional)
Helpful if you want to deepen related skills, but not required to participate effectively.
