When AI Looks Too Good to Be True

End-of-lesson check

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

1. What is the core idea behind "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. elections
   3. deepfake
   4. appeal

2. Which term best describes a foundational idea in "When AI Looks Too Good to Be True"?

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

3. A learner studying When AI Looks Too Good to Be True would need to understand which concept?

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

4. Which of these is directly relevant to When AI Looks Too Good to Be True?

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

5. Which of the following is a key point about When AI Looks Too Good to Be True?

   1. Too good to be true rewards
   2. Hurry up demands
   3. Asking for money to 'unlock' something
   4. elections

6. What is the key insight about "A simple test" in the context of When AI Looks Too Good to Be True?

   1. elections
   2. Ask: would I trust this if a stranger said it on the street? If no, don't trust it from AI either.
   3. deepfake
   4. appeal

7. What is the key insight about "Review date" in the context of When AI Looks Too Good to Be True?

   1. elections
   2. deepfake
   3. Reviewed in 2026. Treat fast-changing product names, prices, availability, and policy details as examples to verify befo…
   4. appeal

8. Which statement accurately describes an aspect of When AI Looks Too Good to Be True?

   1. elections
   2. deepfake
   3. appeal
   4. If AI promises something amazing — make you rich, make you famous, solve all your problems — it is almost always a trick.

9. What does working with When AI Looks Too Good to Be True typically involve?

   1. Bad people use AI to make scams sound personal and exciting. Real things don't usually come with that much excitement.
   2. elections
   3. deepfake
   4. appeal

10. Which of the following is true about When AI Looks Too Good to Be True?

    1. elections
    2. The big idea: If AI promises something amazing, slow down and ask a grown-up before believing it.
    3. deepfake
    4. appeal

11. Which best describes the scope of "When AI Looks Too Good to Be True"?

    1. It is unrelated to ethics workflows
    2. It applies only to the opposite professional tier
    3. It focuses on If AI promises something amazing — make you rich, make you famous, solve all your problems — it is a
    4. It was deprecated in 2024 and no longer relevant

12. Which section heading best belongs in a lesson about When AI Looks Too Good to Be True?

    1. elections
    2. deepfake
    3. appeal
    4. Three signs of AI scams

13. Which of the following is a concept covered in When AI Looks Too Good to Be True?

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

14. Which of the following is a concept covered in When AI Looks Too Good to Be True?

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

15. Which of the following is a concept covered in When AI Looks Too Good to Be True?

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