AI Research IRB Protocols: Drafting Human-Subject Submissions

End-of-lesson check

10 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-ethics-safety-AI-and-research-irb-protocol-adults

1. What is the main idea of "AI Research IRB Protocols: Drafting Human-Subject Submissions"?

   1. AI-involved human-subjects research needs IRB protocols that cover model behavior, data flow, and participant exit — AI can.
   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 Research IRB Protocols: Drafting Human-Subject Submissions"?

   1. informed consent
   2. IRB protocol
   3. data flow diagram
   4. withdrawal right

3. Which use of AI fits this topic best?

   1. Determine what constitutes minimal-risk vs greater-than-minimal-risk for your population.
   2. Let the AI decide what matters without your review
   3. Draft data-flow diagrams from a study protocol description.
   4. Use the answer before checking whether it fits the situation

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

   1. Draft data-flow diagrams from a study protocol description.
   2. Explain the topic in plain language
   3. Organize a draft for human review
   4. Determine what constitutes minimal-risk vs greater-than-minimal-risk for your population.

5. What should a careful learner remember about "IRB protocol scaffold"?

   1. Use AI to draft or organize ideas about IRB protocol, then verify before acting.
   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 IRB protocol 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 IRB protocol.

9. Which action would help you apply "AI Research IRB Protocols: Drafting Human-Subject Submissions" responsibly?

   1. Substitute for IRB review or PI accountability.
   2. Use the tool to avoid thinking through the tradeoff
   3. Keep going even if the output conflicts with a trusted source
   4. Generate plain-language consent language about AI participation.

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

    1. Substitute for IRB review or PI accountability.
    2. Draft data-flow diagrams from a study protocol description.
    3. Ask for a plain-language explanation of informed consent
    4. Compare the answer with a trusted source