Reader situation
AI can gather, organize and summarize knowledge from discussions, documents and contributions. The result often looks polished and authoritative. Before you rely on it for a decision or share it further, it needs a human review.
Central idea
AI-organized knowledge still needs review before it informs a decision or is shared further. This checklist helps you check sources, accuracy, missing context, confidentiality and attribution before accepting the contribution.
Practical steps
- Original sources. Find where the information came from.
- Factual accuracy. Check that claims are correct.
- Missing context. Look for caveats, disagreements and conditions that were left out.
- Confidentiality. Make sure nothing private or sensitive is included.
- Attribution. Check that people’s contributions are credited correctly.
- Final human review. Decide, as a person, whether to use or share it.
Tool: checklist
Use this before relying on or sharing any AI-organized summary, digest or knowledge collection.
Original sources
Factual accuracy
Missing context
Confidentiality
Attribution
Final human review
Worked example
Fictional example
A community leader prepares a monthly digest from an AI-organized summary of discussions. Using the checklist, she finds that one point is attributed to the wrong member, a disagreement about pricing has been left out and one item comes from a private Circle. She corrects the attribution, adds a line on the disagreement and removes the private item before sending.
Boundaries
- Review effort should match the stakes. A quick catch-up needs less checking than a summary used for a decision.
- If you can’t verify a point, leave it out or label it as unverified.
One action to try with a professional peer
Use the checklist on one AI-organized summary this week, and share what you found with a colleague who also uses summaries.
Discussion prompt
What’s the most important thing to check before trusting an AI summary in your work?
