ML development risks · Question 28 of 60
Which mitigation helps against problems in the algorithm, model or framework that introduce systemic unfairness?
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Answer
- C Testing for bias
Explanation
If the unfairness lies in the algorithm, the model or the framework itself, it is called algorithmic bias, as opposed to data bias. Testing for bias helps against it.