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AI Risk Assessment: Scoring, Documenting and Treating Risk in a Way That Survives Review

Linking Each Risk to a Named Control and a Named Owner

Quiz: Linking Each Risk to a Named Control and a Named Owner

AI Risk Assessment Against ISO/IEC 23894 Guidance

Quiz: AI Risk Assessment Against ISO/IEC 23894 Guidance

Article 9 Risk Management for High Risk Systems

Quiz: Article 9 Risk Management for High Risk Systems

Reassessment Triggers: Model Change, Data Change, Use Change

Quiz: Reassessment Triggers: Model Change, Data Change, Use Change

Aggregating AI Risk Into the Enterprise Risk Register

Quiz: Aggregating AI Risk Into the Enterprise Risk Register

Writing the Assessment So a Reviewer Can Follow the Reasoning

Quiz: Writing the Assessment So a Reviewer Can Follow the Reasoning

Final exam: AI Risk Assessment: Scoring, Documenting and Treating Risk in a Way That Survives Review

2 of 2

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Quiz: Reassessment Triggers: Model Change, Data Change, Use Change

AI Risk Assessment: Scoring, Documenting and Treating Risk in a Way That Survives Review
Reassessment Triggers: Model Change, Data Change, Use Change
Quiz: Reassessment Triggers: Model Change, Data Change, Use Change

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Question 1 of 5

1. Question

What type of change requires reassessment when a credit scoring model switches from logistic regression to a neural network?

Data change triggers
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Use change triggers
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Model change triggers
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Volume change triggers
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Question 2 of 5

2. Question

Which of the following is an example of a data change trigger affecting an AI system?

A change in the decision-making logic of a model
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An increase in clinical data collection practices
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A shift from supervised to unsupervised learning approaches
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An expansion of system responsibilities
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Correct / 1 Points

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Question 3 of 5

3. Question

What must be evaluated when a customer service chatbot is updated to handle complex financial transactions?

The quality of training data
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The composition of demographic data
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The operational environment and decision boundaries
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The volume of data being processed
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Question 4 of 5

4. Question

Which of the following is NOT a type of model change trigger?

Feature engineering changes
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Version updates that alter decision-making logic
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Changes in data sources
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Parameter adjustments
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Correct / 1 Points

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Question 5 of 5

5. Question

Why is it important for organisations to maintain awareness of when conditions have shifted enough to warrant formal reassessment?

To reduce the cost of data collection
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To prevent risk profiles from becoming outdated through operational drift
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To ensure compliance with ISO standards
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To avoid using machine learning models altogether
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