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AI Governance Training for Executives: The Decisions Only the Board Can Make

What Directors Are Personally Accountable For When AI Fails

Quiz: What Directors Are Personally Accountable For When AI Fails

Setting AI Risk Appetite in Terms the Business Can Apply

Quiz: Setting AI Risk Appetite in Terms the Business Can Apply

Board Level AI Governance Structures That Do Not Slow Delivery

Quiz: Board Level AI Governance Structures That Do Not Slow Delivery

Reading an AI Risk Report Without a Technical Background

Quiz: Reading an AI Risk Report Without a Technical Background

The Regulatory Duties That Reach the Boardroom in 2026 and 2027

Quiz: The Regulatory Duties That Reach the Boardroom in 2026 and 2027

Approving or Rejecting an AI Use Case: A Board Decision Checklist

Quiz: Approving or Rejecting an AI Use Case: A Board Decision Checklist

AI in Annual Reports, Investor Disclosure and Market Statements

Quiz: AI in Annual Reports, Investor Disclosure and Market Statements

Third Party Model Dependence and Concentration Risk

Quiz: Third Party Model Dependence and Concentration Risk

Insurance, Indemnities and Liability When AI Causes Loss

Quiz: Insurance, Indemnities and Liability When AI Causes Loss

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Quiz: Reading an AI Risk Report Without a Technical Background

AI Governance Training for Executives: The Decisions Only the Board Can Make
Reading an AI Risk Report Without a Technical Background
Quiz: Reading an AI Risk Report Without a Technical Background

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Question 1 of 5

1. Question

When a risk report says ‘the model is 92 percent accurate,’ what critical information is missing?

The model's name
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Compared to what baseline or alternative?
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The name of the person who built it
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Whether the system is used for hiring or marketing
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Question 2 of 5

2. Question

Why is performance breakdown by demographic group critical in an AI risk report?

It is not important; overall accuracy is what matters
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A model can be accurate overall but perform poorly for minority groups, creating hidden bias and legal exposure
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It is only relevant for financial services systems
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Demographic breakdowns are optional and only required by the EU
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Question 3 of 5

3. Question

What does a good AI risk report distinguish between training data and test data?

It is the same data; no distinction is needed
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Training data builds the model; test data is held back to check performance on unseen examples
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Test data is more important than training data
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Training data is used twice to improve accuracy
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Question 4 of 5

4. Question

If a risk report does not include a rollback plan, what does this mean?

It means the system is definitely safe
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It means if the system performs poorly in production, you cannot quickly switch back to the previous system or human review
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It means the system is internal and does not need a rollback plan
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Rollback plans are not necessary for AI systems
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Question 5 of 5

5. Question

What should a director do if presented with an AI risk report that does not break down performance by demographic group?

Approve the system immediately
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Do not approve until the report includes performance for relevant demographic groups
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Ask the technical team to lower accuracy slightly to speed things up
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Rely on the team to have done this analysis even if it is not shown
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