AI practice
Practice handling an AI answer that is uncertain
By SI100x · Published
A useful assistant should have a way to communicate uncertainty. In a practice project, design that behavior deliberately instead of hiding uncertainty behind confident wording.
Try this exercise
- Choose a task with some incomplete inputs, such as extracting an event date from notes. Write cases with a complete date, a partial date and conflicting dates.
- Decide when the interface should ask a follow-up or present an unresolved field. Keep the original input available so a reviewer can understand the uncertainty.
- Evaluate whether the generated answer follows that behavior. Reject or flag outputs that invent a missing year or silently choose between conflicting facts.
Check your result
The user should know what is known, what is uncertain and what information would resolve it. Do not treat a model’s confidence wording as a measured probability unless you have a sound method for doing so.
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