Do Not Confide in AI Chatbots

End-of-lesson check

15 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-builders-ethics-safety-chatbot-dont-confide

1. What is the core idea behind "Do Not Confide in AI Chatbots"?

   1. AI chatbots feel like a friend.
   2. Substitute for the model-developer's responsibility to publish their own card
   3. US states are passing AI laws independently.
   4. safety case

2. Which term best describes a foundational idea in "Do Not Confide in AI Chatbots"?

   1. data leakage
   2. training data
   3. privacy policy
   4. redaction

3. A learner studying Do Not Confide in AI Chatbots would need to understand which concept?

   1. training data
   2. privacy policy
   3. data leakage
   4. redaction

4. Which of these is directly relevant to Do Not Confide in AI Chatbots?

   1. training data
   2. data leakage
   3. redaction
   4. privacy policy

5. Which of the following is a key point about Do Not Confide in AI Chatbots?

   1. Passwords, PINs, or codes
   2. Information that identifies you
   3. Secrets that aren't yours to share
   4. Substitute for the model-developer's responsibility to publish their own card

6. What is the key insight about "What chatbots do with your info" in the context of Do Not Confide in AI Chatbots?

   1. Substitute for the model-developer's responsibility to publish their own card
   2. Save it. Use it to train future versions. Share it with employees who review data for quality.
   3. US states are passing AI laws independently.
   4. safety case

7. What is the key insight about "Review date" in the context of Do Not Confide in AI Chatbots?

   1. Substitute for the model-developer's responsibility to publish their own card
   2. US states are passing AI laws independently.
   3. Reviewed in 2026. Treat fast-changing product names, prices, availability, and policy details as examples to verify befo…
   4. safety case

8. Which statement accurately describes an aspect of Do Not Confide in AI Chatbots?

   1. Substitute for the model-developer's responsibility to publish their own card
   2. US states are passing AI laws independently.
   3. safety case
   4. AI chatbots feel like a friend. They are actually a service — and what you tell them might be saved, used to train future AI, or seen by hum…

9. What does working with Do Not Confide in AI Chatbots typically involve?

   1. Famous case: in 2024, employees at a major car company shared confidential code with ChatGPT to debug it.
   2. Substitute for the model-developer's responsibility to publish their own card
   3. US states are passing AI laws independently.
   4. safety case

10. Which of the following is true about Do Not Confide in AI Chatbots?

    1. Substitute for the model-developer's responsibility to publish their own card
    2. The big idea: AI chatbots feel private. They are not. Treat them like a stranger at a bus stop.
    3. US states are passing AI laws independently.
    4. safety case

11. Which best describes the scope of "Do Not Confide in AI Chatbots"?

    1. It is unrelated to ethics-safety workflows
    2. It applies only to the opposite beginner tier
    3. It focuses on AI chatbots feel like a friend.
    4. It was deprecated in 2024 and no longer relevant

12. Which section heading best belongs in a lesson about Do Not Confide in AI Chatbots?

    1. Substitute for the model-developer's responsibility to publish their own card
    2. US states are passing AI laws independently.
    3. safety case
    4. Three things never to share

13. Which of the following is a concept covered in Do Not Confide in AI Chatbots?

    1. training data
    2. data leakage
    3. privacy policy
    4. redaction

14. Which of the following is a concept covered in Do Not Confide in AI Chatbots?

    1. training data
    2. data leakage
    3. privacy policy
    4. redaction

15. Which of the following is a concept covered in Do Not Confide in AI Chatbots?

    1. training data
    2. data leakage
    3. privacy policy
    4. redaction