AI Human-Subjects Honoraria Equity Review: Aligning Compensation to Risk

End-of-lesson check

15 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-ethics-ai-and-human-subjects-honoraria-equity-r6a3-creators

1. What is the core idea behind "AI Human-Subjects Honoraria Equity Review: Aligning Compensation to Risk"?

   1. AI can model honoraria-equity scenarios for human-subjects research, but coercion judgments stay with the IRB.
   2. Summarize TOS sections most relevant to creators
   3. grief processing
   4. medical safety

2. Which term best describes a foundational idea in "AI Human-Subjects Honoraria Equity Review: Aligning Compensation to Risk"?

   1. undue influence
   2. participant compensation
   3. coercion threshold
   4. wage-equivalent calculation

3. A learner studying AI Human-Subjects Honoraria Equity Review: Aligning Compensation to Risk would need to understand which concept?

   1. participant compensation
   2. coercion threshold
   3. undue influence
   4. wage-equivalent calculation

4. Which of these is directly relevant to AI Human-Subjects Honoraria Equity Review: Aligning Compensation to Risk?

   1. participant compensation
   2. undue influence
   3. wage-equivalent calculation
   4. coercion threshold

5. Which of the following is a key point about AI Human-Subjects Honoraria Equity Review: Aligning Compensation to Risk?

   1. Generate wage-equivalent calculations across local population segments.
   2. Draft IRB justification narratives for proposed compensation.
   3. Summarize TOS sections most relevant to creators
   4. grief processing

6. What is one important takeaway from studying AI Human-Subjects Honoraria Equity Review: Aligning Compensation to Risk?

   1. Replace IRB judgment about vulnerable populations.
   2. Decide whether compensation crosses the undue-influence line.
   3. Summarize TOS sections most relevant to creators
   4. grief processing

7. What is the key insight about "Honoraria equity model" in the context of AI Human-Subjects Honoraria Equity Review: Aligning Compensation to Risk?

   1. Summarize TOS sections most relevant to creators
   2. grief processing
   3. Model proposed honoraria of $75 for a 90-minute interview study recruiting from food-insecure communities.
   4. medical safety

8. What is the key insight about "Underpaying is also extractive" in the context of AI Human-Subjects Honoraria Equity Review: Aligning Compensation to Risk?

   1. Summarize TOS sections most relevant to creators
   2. grief processing
   3. medical safety
   4. Anchoring honoraria to minimum wage to avoid 'undue influence' can extract from vulnerable communities.

9. Which statement accurately describes an aspect of AI Human-Subjects Honoraria Equity Review: Aligning Compensation to Risk?

   1. AI can model honoraria scenarios that compare time burden, risk, and population-specific economic context for IRB review.
   2. Summarize TOS sections most relevant to creators
   3. grief processing
   4. medical safety

10. Which best describes the scope of "AI Human-Subjects Honoraria Equity Review: Aligning Compensation to Risk"?

    1. It is unrelated to ethics workflows
    2. It focuses on AI can model honoraria-equity scenarios for human-subjects research, but coercion judgments stay wit
    3. It applies only to the opposite beginner tier
    4. It was deprecated in 2024 and no longer relevant

11. Which section heading best belongs in a lesson about AI Human-Subjects Honoraria Equity Review: Aligning Compensation to Risk?

    1. Summarize TOS sections most relevant to creators
    2. grief processing
    3. What AI does well here
    4. medical safety

12. Which section heading best belongs in a lesson about AI Human-Subjects Honoraria Equity Review: Aligning Compensation to Risk?

    1. Summarize TOS sections most relevant to creators
    2. grief processing
    3. medical safety
    4. What AI cannot do

13. Which of the following is a concept covered in AI Human-Subjects Honoraria Equity Review: Aligning Compensation to Risk?

    1. participant compensation
    2. undue influence
    3. coercion threshold
    4. wage-equivalent calculation

14. Which of the following is a concept covered in AI Human-Subjects Honoraria Equity Review: Aligning Compensation to Risk?

    1. participant compensation
    2. undue influence
    3. coercion threshold
    4. wage-equivalent calculation

15. Which of the following is a concept covered in AI Human-Subjects Honoraria Equity Review: Aligning Compensation to Risk?

    1. participant compensation
    2. undue influence
    3. coercion threshold
    4. wage-equivalent calculation