Understanding Bias 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

   What is the primary definition of algorithmic bias in the context of AI?

2. 2

   If a hiring AI tool is trained on historical data from a company that previously only hired men for technical roles, what is the most likely outcome?

3. 3

   Which of the following is an effective strategy to mitigate bias during the data preparation phase?

4. 4

   Why is 'Fairness through Unawareness' (simply removing sensitive attributes like race or gender) often insufficient for preventing bias?

5. 5

   In a scenario where you are testing a facial recognition system, you notice it has significantly lower accuracy for people with darker skin tones. Which fairness metric should you prioritize to address this discrepancy?