Bias Detection and Mitigation Quiz

Quiz covering Responsible AI

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

   What is the primary goal of bias mitigation in AI systems?

2. 2

   If a hiring algorithm trained on historical data consistently ranks candidates from a specific demographic lower than others, what type of bias is most likely occurring?

3. 3

   Which of the following is an effective technique for mitigating bias during the 'pre-processing' stage of the machine learning pipeline?

4. 4

   Why is 'Fairness' often considered a multi-dimensional challenge in AI development?

5. 5

   A team discovers that their facial recognition system has a high False Negative Rate for women of color. After checking the training data, they find the dataset is 90% white males. What is the most rigorous technical approach to address this 'Representation Bias'?