How to Verify AI Output Before Using It
A practical checklist for checking AI output — facts, numbers, and logic — before you rely on it.
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- Bring your own work — code, campaign, report or plan
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What this session would cover
Proposed outline — the mentor finalises the agenda once this topic is scheduled.
- 1Checking facts against reliable sources
- 2Verifying numbers and calculations
- 3Testing the logic and reasoning
- 4Checking citations and references actually exist
- 5Reviewing for missing information or bias
- 6A verification checklist sized by risk
Who it's for
- • Professionals using AI for work output
- • Students using AI for learning and assignments
You'd leave with
- A verification checklist
- Practice verifying real output
- A sense of how much checking each task needs
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