ISO-IEC-42001-Lead-Auditor ISO/IEC 42001:2023Artificial Intelligence Management System Lead Auditor Exam Questions and Answers

The correct principle isConfidentiality.

ISO 19011:2018 – Clause 4(e)states that auditors mustrespect the confidentiality of informationacquired during the audit and use it only for audit purposes. This includessensitive or proprietary data, such as AI algorithms, models, and proprietary decision logic.

ThePECB Lead Auditor Guide – Domain 3reinforces that anyinternal or sensitive company informationdiscovered must besafeguarded and never disclosedwithout authorization.

Annex A – Control A.5.2.2: Stakeholder Consultationexplicitly requires organizations toconsult with relevant stakeholders(such as users, impacted communities, regulators, etc.) during the development and operation of AI systems.

This control emphasizes the importance of engaging stakeholders toidentify expectations, values, ethical concerns, and social impact risksassociated with the AI system.

Stakeholder engagement supports transparency, ethical alignment, and social acceptability of AI solutions.

The correct AI concept for processingtext dataisNatural Language Processing (NLP).

NLP is a field of AI concerned with theinteraction between computers and human (natural) languages. It is used to analyze, extract, and interpretunstructured text, making it highly suitable for financial document analysis.

ISO/IEC 42001:2023 – Clause 8.2.3encourages the selection of appropriate techniques for operational purposes, andNLP is the most relevantfor text-heavy tasks.

Aclear and agreed audit scopeensures that the audit willadequately cover all relevant areas of the AI Management Systemand that the audit team understands:

Boundaries of the audit(departments, processes, AI systems)

Objectives and criteria

Whatmust be included or excluded

As perISO 19011:2018 – Clause 5.2, determining the audit scope is critical to ensuring theaudit is effective, relevant, and complete. Similarly, inISO/IEC 42001:2023 – Clause 9.2.1, the scope must be defined to evaluate the full effectiveness of the AIMS.

The PECB Lead Auditor Guide reinforces that without a clear scope, the audit risks missingcritical operational, ethical, or compliance-related areas.

In this context, theglobal bankis theauditee, as it is theorganization being audited. According toISO 19011:2018 – Clause 3.12, anauditeeis “the organization being audited.”

Since the bank is undergoing aninternal or external auditof its AI Management System (AIMS), it assumes the role of theentity whose AIMS is being evaluatedfor effectiveness, compliance, and performance.

Accreditation bodyis responsible for accrediting certification bodies.

Certification bodyconducts audits for conformity assessments.

Advisory bodyprovides consultation but does not participate directly in audits.

The correct term here isAI System Impact Assessment(AIIA), which is distinctly referenced inISO/IEC 42001:2023 – Clause 6.1.2as part of the organization’s process to identify and assesspotential impactsof AI systems on stakeholders.

An AIIA is designed to evaluate theethical, societal, legal, and human rights implicationsof AI use. It supportstransparency, stakeholder trust, and ethical alignment.

WhileAI Risk Assessment(Clause 6.1.1) focuses more on organizational and system-level risks (e.g., technical, legal), theImpact Assessmentlooks atexternal consequences— especially forindividuals and groups.

ThePrivacy and Securityprinciple focuses on safeguardingpersonal dataand ensuring therobustness of AI systems against security threats.

As outlined inISO/IEC 42001:2023 – Clause 6.1.2 and 8.2.3, organizations must addressdata protection, cybersecurity, and access controlsthroughout the AI system lifecycle.

This is particularly relevant in contexts where AI systems handlesensitive or identifiable data, such as health, finance, or biometrics.