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AI Bias Testing: Measuring Fairness With Numbers You Can Defend

What Bias Means Statistically, Legally and Socially

Quiz: What Bias Means Statistically, Legally and Socially

Where Bias Enters: Data, Labels, Features and Deployment

Quiz: Where Bias Enters: Data, Labels, Features and Deployment

Protected Characteristics and Proxy Variables

Quiz: Protected Characteristics and Proxy Variables

Collecting Demographic Data Lawfully for Testing

Quiz: Collecting Demographic Data Lawfully for Testing

Group Fairness Metrics: Parity, Equal Opportunity and Equalised Odds

Quiz: Group Fairness Metrics: Parity, Equal Opportunity and Equalised Odds

Impact Ratios, the Four Fifths Rule and Legal Thresholds

Quiz: Impact Ratios, the Four Fifths Rule and Legal Thresholds

Individual and Counterfactual Fairness Approaches

Quiz: Individual and Counterfactual Fairness Approaches

Why Fairness Definitions Conflict Mathematically

Quiz: Why Fairness Definitions Conflict Mathematically

Sample Size, Confidence and Testing Small Groups Honestly

Quiz: Sample Size, Confidence and Testing Small Groups Honestly

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Previous Lesson

Quiz: Collecting Demographic Data Lawfully for Testing

AI Bias Testing: Measuring Fairness With Numbers You Can Defend
Collecting Demographic Data Lawfully for Testing
Quiz: Collecting Demographic Data Lawfully for Testing

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Question 1 of 5

1. Question

What must organisations demonstrate when collecting demographic data for AI bias testing under UK law?

That the data is collected from at least five different sources
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That the data collection serves a legitimate testing purpose and is proportionate
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That the data is stored in cloud-based systems for accessibility
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That the data is used exclusively for marketing research purposes
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Question 2 of 5

2. Question

Which of the following is NOT a protected characteristic under the Equality Act 2010 that should be considered in demographic data collection?

Age and gender
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Religious beliefs and political affiliations
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Disability and race
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Sexual orientation and ethnicity
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Question 3 of 5

3. Question

According to the lesson, what is one of the key principles that must be followed when gathering demographic data for AI testing?

Ensure data is collected through social media platforms
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Collect as much data as possible to improve accuracy
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Implement data minimisation to avoid unnecessary information
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Make data available to all employees for transparency
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Question 4 of 5

4. Question

Which of these demographic categories is mentioned as being relevant for bias testing in AI systems?

Hair colour and favourite colour
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Income level and employment status
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Height and weight
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Favourite food and travel destination
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Question 5 of 5

5. Question

What must organisations do to ensure lawful data collection practices are maintained during implementation?

Avoid using any data validation processes
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Train staff on data handling procedures and implement access controls
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Delete all data immediately after testing is complete
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Collect data through third-party vendors only
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