Testing for bias · Question 7 of 60
What are counterfactuals in disparate impact analysis?
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Answer
- D Example scenarios in which a sensitive attribute is changed, for example the gender in a loan application
Explanation
In disparate impact analysis, sensitive attributes are identified and counterfactuals are generated for them: scenarios in which, for example, the gender in a loan application is changed from male to female. If this changes the model result in a statistically significant way, it signals the presence of bias.