Teaching LLMs to express uncertainty in words

AI Impact Summary

Introducing a capability for language models to express uncertainty in their outputs. This will influence how responses are constructed, with explicit phrases or qualifiers indicating confidence. Teams must adapt prompts, response schemas, and evaluation metrics to handle uncertainty signals, and plan UI and logging changes to present and audit these cues without compromising safety.