AI and double-checking pictures that look too perfect

End-of-lesson check

8 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-explorers-ethics-safety-AI-and-double-checking-pictures-that-look-too-perfect-r10a7

1. What is the main idea of "AI and double-checking pictures that look too perfect"?

   1. If a photo online looks too smooth or weird, AI may have made it.
   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 "AI and double-checking pictures that look too perfect"?

   1. deepfakes
   2. fake images
   3. checking
   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. Look at hands in pictures, AI often gets fingers wrong
   4. Trust the first answer because it sounds confident

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

   1. Cool picture? Check it twice.
   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 or safety 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 fake images 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 fake images.

8. Which action would help you apply "AI and double-checking pictures that look too perfect" 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. Check the background for blurry letters