Human in the Loop (HITL)

Until AGI arrives, critical decisions require a human signature. But HITL strategies are often designed poorly.

The "Rubber Stamp" Problem

If the AI is right 99% of the time, the human operator stops paying attention. They just click "Approve" "Approve" "Approve". When the 1% fatal error comes, they click "Approve" out of muscle memory. Fix: Inject "Gold Standard" fake bad cases into the queue to keep the human awake. If they approve a fake bad case, lock their account and retrain.

Workflow Design

• Low Confidence: Send to Human Queue.
• High Confidence: Auto-execute (but sample 5% for audit).
• Disagreement: If Human rejects AI, feed that data back into the retraining set immediately. This is your "Data Flywheel".

The Reviewer UI

Don't just show the output. Show the reasoning/citation. The human needs to verify the source, not just the summary.