AI Glossary
Uncertainty Quantification
What is Uncertainty Quantification?
Methods for estimating how confident an AI model is in its outputs — and communicating that confidence to users. LLMs do not natively produce calibrated confidence scores, making uncertainty quantification an active research area. In professional AI deployments, understanding model uncertainty is critical for deciding when to trust AI outputs and when to require human review.
Example in practice
A medical AI that flags a diagnosis recommendation as "low confidence" and routes it to a physician rather than displaying it directly to the patient is implementing uncertainty quantification in a clinically responsible way.
Learn more
See Uncertainty Quantification applied in a professional context through this free course.
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