Fairness in AI Solutions Quiz

5 questions Pass: 70% +25 pts (50 with Pro)

Quiz covering Responsible AI Principles

What you'll be asked

  1. What is the primary goal of incorporating fairness principles into AI development?
  2. You are training a hiring algorithm to filter resumes. You notice the training data contains historical biases where certain demographics were underrepresented. Which approach best addresses this fairness concern?
  3. When evaluating an AI model for fairness, what does the concept of 'Equal Opportunity' imply?
  4. A loan approval AI system is found to be rejecting applicants from a specific zip code at a higher rate than others. Why is this considered an 'indirect bias'?
  5. In a scenario where you must choose between model accuracy and model fairness, which of the following is the most responsible action according to AI ethics frameworks?

Answers and explanations come after you submit.