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AI Bias Testing: Measuring Fairness With Numbers You Can Defend

Intersectional Analysis Beyond Single Attributes

Quiz: Intersectional Analysis Beyond Single Attributes

Bias in Generative Output: Representation and Stereotyping

Quiz: Bias in Generative Output: Representation and Stereotyping

Mitigation: Pre Processing, In Processing and Post Processing

Quiz: Mitigation: Pre Processing, In Processing and Post Processing

Trade Offs Between Accuracy, Fairness and Business Constraints

Quiz: Trade Offs Between Accuracy, Fairness and Business Constraints

Documenting a Bias Audit for Publication or Regulator Review

Quiz: Documenting a Bias Audit for Publication or Regulator Review

Ongoing Fairness Monitoring After Deployment

Quiz: Ongoing Fairness Monitoring After Deployment

Final exam: AI Bias Testing: Measuring Fairness With Numbers You Can Defend

2 of 2

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Quiz: Trade Offs Between Accuracy, Fairness and Business Constraints

AI Bias Testing: Measuring Fairness With Numbers You Can Defend
Trade Offs Between Accuracy, Fairness and Business Constraints
Quiz: Trade Offs Between Accuracy, Fairness and Business Constraints

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Question 1 of 5

1. Question

In the context of AI systems, what is a common consequence of improving accuracy?

It always leads to better fairness outcomes
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It often results in increased computational costs
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It reduces the need for additional data collection
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It decreases the complexity of testing frameworks
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Question 2 of 5

2. Question

What challenge do government departments face when using AI for housing allocation?

They must choose between accuracy and fairness
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They cannot access sufficient demographic data
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They are required to reduce housing availability
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They must avoid using any automated systems
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Correct / 1 Points

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Question 3 of 5

3. Question

Why might a financial institution struggle with fraud detection systems?

The systems are too expensive to maintain
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The systems cannot identify any fraud at all
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The systems may disproportionately flag legitimate transactions from certain groups
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The systems are not allowed to use machine learning
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Correct / 1 Points

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Question 4 of 5

4. Question

What is one recommended approach for managing trade-offs in AI testing?

Prioritise accuracy over fairness at all times
Correct Incorrect Correct answer

Begin testing with basic accuracy validation before assessing fairness
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Avoid documenting any trade-off decisions
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Eliminate fairness testing from the process
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Correct / 1 Points

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Question 5 of 5

5. Question

What is an important aspect of documenting trade-off decisions in AI systems?

It helps reduce the cost of testing
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It supports future audits and demonstrates compliance
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It makes the systems easier to develop
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It removes the need for stakeholder consultation
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Correct / 1 Points

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