Fairness Evaluation 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

   Which of the following best describes the concept of 'Algorithmic Bias' in the context of Responsible AI?

2. 2

   You are auditing a hiring algorithm and notice it has a higher false-rejection rate for female applicants compared to male applicants. Which fairness metric should you prioritize to address this?

3. 3

   When selecting a dataset to train a loan-approval model, your team discovers historical data contains systemic biases against certain neighborhoods. What is the most responsible way to handle this?

4. 4

   A facial recognition system performs accurately on individuals with lighter skin tones but poorly on individuals with darker skin tones. This is an example of:

5. 5

   You are tasked with evaluating fairness in a multi-stage AI pipeline. Why is it difficult to achieve 'Demographic Parity' while simultaneously maintaining high predictive accuracy?