AI and the Future of Truth-Finding

End-of-lesson check

10 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-ethics-AI-and-truth-finding-creators

1. What is the main idea of "AI and the Future of Truth-Finding"?

   1. When AI can produce convincing text, images, audio, and video, how do we collectively know what is true? The answers will shape the next decade.
   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 the Future of Truth-Finding"?

   1. epistemic infrastructure
   2. truth finding
   3. verification
   4. shared reality

3. Which use of AI fits this topic best?

   1. Solve truth-finding challenges with technology alone
   2. Let the AI decide what matters without your review
   3. Support content authenticity infrastructure (C2PA, source provenance)
   4. Use the answer before checking whether it fits the situation

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

   1. Support content authenticity infrastructure (C2PA, source provenance)
   2. Explain the topic in plain language
   3. Organize a draft for human review
   4. Solve truth-finding challenges with technology alone

5. What should a careful learner remember about "Personal truth-finding practices"?

   1. Use "Personal truth-finding practices" 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 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 truth finding 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 truth finding.

9. Which action would help you apply "AI and the Future of Truth-Finding" responsibly?

   1. Substitute individual practices for institutional safeguards
   2. Use the tool to avoid thinking through the tradeoff
   3. Keep going even if the output conflicts with a trusted source
   4. Cultivate trusted information sources and recommend them to others

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

    1. Substitute individual practices for institutional safeguards
    2. Support content authenticity infrastructure (C2PA, source provenance)
    3. Ask for a plain-language explanation of epistemic infrastructure
    4. Compare the answer with a trusted source