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EU AI Act High Risk Readiness: Getting an Annex III System Ready for 2 December 2027

Which Systems Fall Into Annex III High Risk Categories

Quiz: Which Systems Fall Into Annex III High Risk Categories

The Article 6(3) Filter: When an Annex III System Is Not High Risk

Quiz: The Article 6(3) Filter: When an Annex III System Is Not High Risk

Safety Components and Product Legislation Routes Under Annex I

Quiz: Safety Components and Product Legislation Routes Under Annex I

What Regulation (EU) 2026/1744 Moved to 2 December 2027

Quiz: What Regulation (EU) 2026/1744 Moved to 2 December 2027

Article 9 Risk Management as a Continuous Process

Quiz: Article 9 Risk Management as a Continuous Process

Article 10 Data Governance: Representativeness, Errors and Gaps

Quiz: Article 10 Data Governance: Representativeness, Errors and Gaps

Article 11 and Annex IV Technical Documentation Contents

Quiz: Article 11 and Annex IV Technical Documentation Contents

Article 12 Logging and Automatic Record Keeping

Quiz: Article 12 Logging and Automatic Record Keeping

Article 13 Instructions for Use That Deployers Can Act On

Quiz: Article 13 Instructions for Use That Deployers Can Act On

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Quiz: Article 10 Data Governance: Representativeness, Errors and Gaps

EU AI Act High Risk Readiness: Getting an Annex III System Ready for 2 December 2027
Article 10 Data Governance: Representativeness, Errors and Gaps
Quiz: Article 10 Data Governance: Representativeness, Errors and Gaps

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Question 1 of 5

1. Question

What does Article 10 require regarding training data representativeness?

No requirements; any data is acceptable
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Training data must be representative of populations and contexts where the system will be deployed
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Representativeness only matters after deployment
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Data should represent only the largest population group
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Question 2 of 5

2. Question

What is the purpose of identifying data gaps under Article 10?

To ignore problematic data
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To hide dataset limitations from regulators
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To document known limitations so deployers understand system capabilities and constraints
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Gaps should never be documented
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Question 3 of 5

3. Question

A high risk recruitment system shows performance bias against candidates from certain ethnic backgrounds. Which Article 10 measure would help prevent this?

Removing all training data
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Improving representativeness of training data by including more balanced representation of all ethnic groups in training examples
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Using only historical hiring data
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Refusing to address the bias
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Question 4 of 5

4. Question

What must organisations document regarding data quality errors under Article 10?

Nothing; data quality is not important
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Only errors found after deployment
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Data quality verification procedures, error thresholds that trigger correction, and who is responsible for data quality oversight
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Errors should be hidden
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Question 5 of 5

5. Question

Why is data versioning important for Article 10 compliance?

It is not important
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It allows organisations to trace which data version was used for each model version, helping troubleshoot performance problems and understand whether degradation is from data drift or training data issues
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Only large organisations need to track data versions
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Versions should be kept secret
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