Lesson 1560 of 2244
AI Human-Subjects Honoraria Equity Review: Aligning Compensation to Risk
AI can model honoraria-equity scenarios for human-subjects research, but coercion judgments stay with the IRB.
Adults & Professionals · Ethics & Society · ~7 min read
The premise
AI can model honoraria scenarios that compare time burden, risk, and population-specific economic context for IRB review.
What AI does well here
- Generate wage-equivalent calculations across local population segments.
- Draft IRB justification narratives for proposed compensation.
What AI cannot do
- Decide whether compensation crosses the undue-influence line.
- Replace IRB judgment about vulnerable populations.
Key terms in this lesson
Practice this safely
Use a real but low-risk workflow from your day. Treat AI as a drafting and organizing layer, then verify the output before anyone relies on it.
- 1Ask AI to explain participant compensation in plain language, then underline anything that sounds uncertain or too broad.
- 2Give it one detail from "AI Human-Subjects Honoraria Equity Review: Aligning Compensation to Risk" and ask for two possible next steps plus one reason each step might be wrong.
- 3Check undue influence against a trusted source, teacher, adult, expert, or original document before you use it.
End-of-lesson quiz
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