Knowing when an agent is uncertain enables appropriate human oversight and prevents overreliance on wrong answers.
Approaches
- Confidence scores
- Multiple sampling
- Ensemble disagreement
- Calibrated probabilities
Applications
- Escalation triggers
- Output validation
- User warnings
- Quality filtering