Testing for bias · Question 25 of 60
How does dynamic testing help detect bias in an ML model?
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Answer
- A A known unbiased, representative dataset is fed in and analyzed for significant differences between sensitive groups
Explanation
Dynamic testing feeds a known unbiased and representative dataset through the system. The predictions are then analyzed for statistically significant differences in outcomes across sensitive groups. This identifies bias in the outputs, regardless of whether it was introduced in the training data or during model development.