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An AI model confidently mislabels a rare bird species as a common one. How can combining AI confidence scores with human review improve results?

hard📝 Application Q9 of 15
AI for Everyone - How AI Models Actually Work
An AI model confidently mislabels a rare bird species as a common one. How can combining AI confidence scores with human review improve results?
AHumans only review high-confidence AI answers
BHumans ignore AI confidence and accept all AI answers
CHumans replace AI completely to avoid mistakes
DHumans check low-confidence cases, reducing errors in rare species labeling
Step-by-Step Solution
Solution:

  1. Step 1: Understand AI confidence use

    Low confidence signals uncertain AI answers needing human review.

  2. Step 2: Explain human-AI collaboration

    Humans reviewing uncertain cases catch errors, improving overall accuracy.

  3. Final Answer:

    Humans check low-confidence cases, reducing errors in rare species labeling -> Option D

  4. Quick Check:

    Human review + AI confidence improves accuracy [OK]
Quick Trick: Use human review on low-confidence AI answers [OK]
Common Mistakes:
  • Ignoring AI confidence scores
  • Reviewing only high-confidence answers
  • Replacing AI entirely without collaboration

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