Lesson 1336 of 2116
Confidence Thresholds and Human Escalation in Agents
Calibrate when an agent should act vs. ask a human.
Lesson map
What this lesson covers
Learning path
The main moves in order
- 1The premise
- 2confidence
- 3escalation
- 4abstention
Concept cluster
Terms to connect while reading
Section 1
The premise
Agents that always act are dangerous; agents that always escalate are useless. Calibrated thresholds are the bridge.
What AI does well here
- Score each proposed action with self-reported confidence.
- Route low-confidence actions to a human queue with context.
- Track escalation rate over time to detect drift.
What AI cannot do
- Trust raw model self-reports without calibration.
- Set thresholds without observing real outcomes.
Key terms in this lesson
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