When AI Looks Too Good to Be True

End-of-lesson check

8 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-explorers-ethics-too-good-true

1. What is the main idea of "When AI Looks Too Good to Be True"?

   1. If AI promises something amazing — make you rich, make you famous, solve all your problems — it is almost always a trick..
   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 "When AI Looks Too Good to Be True"?

   1. too good to be true
   2. scam
   3. urgency
   4. red flag

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. Too good to be true rewards
   4. Trust the first answer because it sounds confident

4. What should a careful learner remember about "A simple test"?

   1. Ask: would I trust this if a stranger said it on the street? If no, don't trust it from AI either.
   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 scam 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 scam.

8. Which action would help you apply "When AI Looks Too Good to Be True" 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. Hurry up demands