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Safe AI for Data Scientists: Evidence, Documentation and Testing Regulators Accept

What Changes for Data Science When AI Becomes Regulated

Quiz: What Changes for Data Science When AI Becomes Regulated

Problem Framing: Stating Intended Purpose and Out of Scope Uses

Quiz: Problem Framing: Stating Intended Purpose and Out of Scope Uses

Dataset Documentation, Provenance and Licence Checks

Quiz: Dataset Documentation, Provenance and Licence Checks

Representativeness, Coverage Gaps and Known Data Errors

Quiz: Representativeness, Coverage Gaps and Known Data Errors

Personal Data, Special Category Data and Lawful Basis

Quiz: Personal Data, Special Category Data and Lawful Basis

Splitting Data Honestly and Avoiding Leakage

Quiz: Splitting Data Honestly and Avoiding Leakage

Choosing Metrics That Match the Decision Being Automated

Quiz: Choosing Metrics That Match the Decision Being Automated

Fairness Metrics and Why They Cannot All Be Satisfied at Once

Quiz: Fairness Metrics and Why They Cannot All Be Satisfied at Once

Subgroup Analysis and Reporting Performance Where It Is Weakest

Quiz: Subgroup Analysis and Reporting Performance Where It Is Weakest

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Quiz: Subgroup Analysis and Reporting Performance Where It Is Weakest

Safe AI for Data Scientists: Evidence, Documentation and Testing Regulators Accept
Subgroup Analysis and Reporting Performance Where It Is Weakest
Quiz: Subgroup Analysis and Reporting Performance Where It Is Weakest

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Question 1 of 5

1. Question

What is subgroup analysis?

Analysing subsets of a single subgroup
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Calculating performance metrics separately for different population subgroups
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Removing underperforming data
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Training separate models for each subgroup
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Question 2 of 5

2. Question

If a model has 90% accuracy overall but 65% for an ethnic minority subgroup, what should you do?

Report only the 90% figure
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Report both figures and investigate why performance differs
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Remove the minority subgroup from the dataset
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Ignore the difference if it is statistically insignificant
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Question 3 of 5

3. Question

What might explain worse performance for an underrepresented subgroup?

The subgroup is inherently less predictable
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The subgroup has fewer training examples so the model has weak signals
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The subgroup should not be used for prediction
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The model is intentionally biased
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Question 4 of 5

4. Question

Should you report only the best subgroup performance?

Yes, to show the model's potential
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No, you should report the worst subgroup performance as a floor
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It depends on the audience
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Yes, unless asked for details
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Question 5 of 5

5. Question

What should you document when reporting subgroup performance?

Only the overall accuracy
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Performance for each subgroup and an explanation of performance differences
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Only subgroups with high performance
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Only statistically significant differences
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