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Research is finding what's true. Writing is making your own meaning out of it. AI is great at one and risky at the other. Knowing which is which is half the skill.
When you write a research paper, you're really doing two jobs: finding stuff out, and turning what you found into something that's yours. AI is great at the first one (with caution) and very risky at the second one. People mix them up and get into trouble.
| Research phase | Writing phase |
|---|---|
| Use AI: yes, a lot | Use AI: only as editor |
| Cite the AI? Sometimes (research tools, like Perplexity) | Cite the AI? Disclose any text help |
| Risk if you cheat? Wrong info | Risk if you cheat? You learned nothing |
On your next research paper, draw a line on a sheet of paper: research / writing. Every time you open AI, ask yourself which side you're on. If you're on the writing side, ask: "am I asking AI to do my thinking?" If yes, close the chat and try yourself first.
8 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-builders-research-vs-writing-where-ai-helps-builders
What is the main idea of "School Research vs Writing: Where AI Helps Which"?
Which concept is most central to "School Research vs Writing: Where AI Helps Which"?
Which use of AI fits this topic best?
What should a careful learner remember about "AI hallucinates sources"?
You want to use AI after this lesson. What is the safest next step?
How should AI output about research be treated?
Name one way to verify an AI answer about research.
Which action would help you apply "School Research vs Writing: Where AI Helps Which" responsibly?