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AI Training for Internal Auditors: Auditing Models, Data and Decisions With Confidence

What Internal Audit Can and Cannot Assure About AI

Quiz: What Internal Audit Can and Cannot Assure About AI

Building AI Into the Annual Audit Plan

Quiz: Building AI Into the Annual Audit Plan

Understanding the Model Life Cycle Well Enough to Audit It

Quiz: Understanding the Model Life Cycle Well Enough to Audit It

Scoping an AI Audit: System, Process or Whole Programme

Quiz: Scoping an AI Audit: System, Process or Whole Programme

Auditing Governance: Policy, Roles and Approval Records

Quiz: Auditing Governance: Policy, Roles and Approval Records

Auditing Data: Sourcing, Quality, Consent and Retention

Quiz: Auditing Data: Sourcing, Quality, Consent and Retention

Auditing Model Development, Testing and Validation Records

Quiz: Auditing Model Development, Testing and Validation Records

Auditing Deployment Controls, Access and Change Management

Quiz: Auditing Deployment Controls, Access and Change Management

Auditing Monitoring, Drift Detection and Alert Response

Quiz: Auditing Monitoring, Drift Detection and Alert Response

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Quiz: Auditing Governance: Policy, Roles and Approval Records

AI Training for Internal Auditors: Auditing Models, Data and Decisions With Confidence
Auditing Governance: Policy, Roles and Approval Records
Quiz: Auditing Governance: Policy, Roles and Approval Records

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Question 1 of 5

1. Question

What should an AI governance policy include?

Only technical requirements for model building
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Principles, scope, roles and responsibilities, and decision gates
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Only vendor selection criteria
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Only data storage specifications
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Question 2 of 5

2. Question

When did the EU AI Act Article 4 AI literacy requirements come into force?

2 February 2025
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2 August 2026
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1 January 2027
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2 December 2027
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Question 3 of 5

3. Question

What is a sign that an approval process is not documented properly?

Approval happened in writing
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An email conversation is treated as approval without a clear approval statement
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Approval occurred before deployment
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The approver was authorised to make the decision
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Question 4 of 5

4. Question

What does an RACI matrix help you understand in AI governance?

The technical architecture of AI systems
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Who is responsible, accountable, consulted and informed for each AI governance decision
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The cost of each AI system
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The age of each AI system
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Question 5 of 5

5. Question

How do you test whether governance on paper matches governance in practice?

By reviewing approval emails
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By asking management about their process
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By shadowing an actual model approval decision to observe whether governance questions are asked
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By reading the AI policy document
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