How to Decide When an AI Model Needs a Human Review Step

A model may handle routine inputs well but remain uncertain or inconsistent on edge cases. Human review is important when errors have material consequences or the model lacks adequate evidence.

What to check

Assess impact of a wrong output, confidence calibration, data coverage, reversibility, and user ability to challenge a result. Test difficult and out-of-distribution examples.

Recommended next step

Set review thresholds and an escalation route proportionate to impact, then monitor overrides and missed cases. Informatix Systems can assess AI systems and operational controls.