Bias Mitigation Quiz

Quiz covering Bias and Fairness

Questions in this quiz

A preview of the 5 questions covered. Start the quiz above to answer them, check your score, and read the explanations.

1. 1

   Which of the following is considered a primary source of bias in AI models?

2. 2

   You are auditing a recruitment AI that disproportionately rejects candidates from a specific demographic. What is the first step you should take?

3. 3

   What does 'algorithmic fairness' mean in the context of machine learning?

4. 4

   Which technique is most effective at mitigating bias during the pre-processing stage of the machine learning pipeline?

5. 5

   When evaluating 'fairness through unawareness' (excluding sensitive attributes like race or gender), why might a model still exhibit bias?