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A company wants to use AI to screen job applicants fairly. Which approach best reduces bias?

hard📝 Application Q15 of 15
AI for Everyone - AI Ethics and Society
A company wants to use AI to screen job applicants fairly. Which approach best reduces bias?
AMake AI decisions secret so no one questions them
BUse diverse and balanced training data and regularly check AI decisions
CUse only data from one city to keep it simple
DTrain AI quickly without reviewing data quality
Step-by-Step Solution
Solution:
  1. Step 1: Understand how to reduce AI bias

    Reducing bias needs diverse, balanced data and ongoing checks.
  2. Step 2: Evaluate options for fairness

    Only Use diverse and balanced training data and regularly check AI decisions includes balanced data and regular checks to ensure fairness.
  3. Final Answer:

    Use diverse and balanced training data and regularly check AI decisions -> Option B
  4. Quick Check:

    Diverse data + checks = less AI bias [OK]
Quick Trick: Balanced data and checks reduce AI bias best [OK]
Common Mistakes:
  • Using limited data thinking it's simpler
  • Hiding AI decisions instead of checking
  • Ignoring data quality and speed training

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