Bias Detection 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 goal of testing an AI model for bias before deployment?

2. 2

   If a hiring algorithm systematically ranks candidates from a specific university higher because historical data shows graduates from that school were frequently hired, what type of bias is this?

3. 3

   You are training a facial recognition system and realize your training dataset consists of 90% images of individuals from one specific ethnic group. What is the most likely risk?

4. 4

   Which of the following actions is a best practice for mitigating bias during the model development lifecycle?

5. 5

   A loan approval model has an overall accuracy of 95%, yet you discover that for a protected minority group, the False Rejection Rate is 40% compared to 5% for the majority group. What does this reveal about your model?