Decision Under Uncertainty: Confidence, Risk, and Verification: Agentic AI Guide (2026)

Decision Under Uncertainty: Confidence, Risk, and Verification in Agentic AI

Intermediate Topic 2 of 8

Decision Under Uncertainty: Confidence, Risk, and Verification

Why uncertainty is unavoidable

LLMs don’t “know” they are wrong. You must engineer uncertainty signals: low evidence, conflicting sources, missing inputs.

Risk-aware decisions

When risk is high, verify. Examples: payment changes, compliance statements, destructive actions.

Confidence thresholds

Practical rule: if confidence < threshold, do one of:

Call a verification tool
Ask the user a clarifying question
Escalate to human review

Autonomous Decision Systems: From Suggestions to Decisions Reward Models and Utility Functions (Without the Math Pain)

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