Lesson 2208 of 2244
AI Research Ethics: IRB Adaptation
IRBs are adapting to AI research. Protocols using AI for analysis, recruitment, or interaction need explicit ethics consideration.
Adults & Professionals · Safety & Governance · ~7 min read
The premise
IRB review of AI research is evolving; protocol design ahead of review prevents revision delays.
What AI does well here
- Disclose AI use comprehensively in IRB protocols
- Address AI-specific risks (re-identification, hallucination harm, bias)
- Update consent language for participants interacting with AI
- Stay current on institutional and federal AI research guidance
What AI cannot do
- Skip AI disclosure in IRB submissions
- Substitute generic research ethics for AI-specific considerations
- Predict every AI research ethics issue
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 IRB in plain language, then underline anything that sounds uncertain or too broad.
- 2Give it one detail from "AI Research Ethics: IRB Adaptation" and ask for two possible next steps plus one reason each step might be wrong.
- 3Check research ethics against a trusted source, teacher, adult, expert, or original document before you use it.
End-of-lesson quiz
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