What to Do When AI Catches Your Mistake

End-of-lesson check

8 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-explorers-ethics-AI-and-saying-when-youre-wrong

1. What is the main idea of "What to Do When AI Catches Your Mistake"?

   1. It's OK if AI corrects you — that's how you grow!
   2. Use AI as the final authority for the whole decision
   3. Avoid checking the answer once it sounds polished
   4. Focus only on speed instead of judgment

2. Which concept is most central to "What to Do When AI Catches Your Mistake"?

   1. growth
   2. humility
   3. learning
   4. unrelated shortcut

3. Which use of AI fits this topic best?

   1. Let the AI decide what matters without your review
   2. Use the answer before checking whether it fits the situation
   3. AI: 'Actually, the moon orbits Earth, not the Sun.' Cool, learned something!
   4. Trust the first answer because it sounds confident

4. What should a careful learner remember about "The rule"?

   1. Being corrected is a learning win, not a loss.
   2. Skip the context so the tool can guess faster
   3. Treat the output as private even after sharing it online
   4. Use the answer without checking the source

5. You want to use AI after this lesson. What is the safest next step?

   1. Act immediately because the AI answer is written clearly
   2. AI cannot make the human values decision for you.
   3. Hide uncertainty so the final answer looks cleaner
   4. Use private or sensitive details before checking permission

6. How should AI output about humility be treated?

   1. As proof that no other source is needed
   2. As a replacement for context, consent, or expert review
   3. As a draft or helper output that still needs human judgment and verification
   4. As something that becomes correct when it sounds confident

7. Name one way to verify an AI answer about humility.

8. Which action would help you apply "What to Do When AI Catches Your Mistake" responsibly?

   1. Use the tool to avoid thinking through the tradeoff
   2. Keep going even if the output conflicts with a trusted source
   3. Trust the first answer because it sounds confident
   4. AI: 'I think you mixed up two countries.' Thanks, fixed!