AI Vendor Incident History: Due Diligence Before You Sign

End-of-lesson check

10 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-ethics-safety-AI-vendor-incident-history-adults

1. What is the main idea of "AI Vendor Incident History: Due Diligence Before You Sign"?

   1. Vendor AI incidents become your incidents. Researching vendor incident history before signing protects against repeat exposure.
   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 Vendor Incident History: Due Diligence Before You Sign"?

   1. incident history
   2. vendor due diligence
   3. risk assessment
   4. unrelated shortcut

3. Which use of AI fits this topic best?

   1. Find every vendor incident (some go undisclosed)
   2. Let the AI decide what matters without your review
   3. Search public sources (news, security databases) for vendor AI incidents
   4. Use the answer before checking whether it fits the situation

4. Which limitation should you watch for in this topic?

   1. Search public sources (news, security databases) for vendor AI incidents
   2. Explain the topic in plain language
   3. Organize a draft for human review
   4. Find every vendor incident (some go undisclosed)

5. What should a careful learner remember about "Vendor incident due diligence"?

   1. Use "Vendor incident due diligence" as a reminder to verify the AI output before anyone relies on it.
   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

6. 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

7. How should AI output about vendor due diligence 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

8. Name one way to verify an AI answer about vendor due diligence.

9. Which action would help you apply "AI Vendor Incident History: Due Diligence Before You Sign" responsibly?

   1. Predict future vendor incidents from past
   2. Use the tool to avoid thinking through the tradeoff
   3. Keep going even if the output conflicts with a trusted source
   4. Ask vendors directly about incident history (their answer is itself a signal)

10. Which choice is a bad use of AI for this lesson?

    1. Predict future vendor incidents from past
    2. Search public sources (news, security databases) for vendor AI incidents
    3. Ask for a plain-language explanation of incident history
    4. Compare the answer with a trusted source