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When AI systems escalate high-risk decisions to human reviewers, AGEI creates verifiable evidence of who reviewed, when they reviewed, and what they decided.
Human-in-the-Loop (HITL) is when high-risk AI decisions are escalated to qualified human reviewers for approval, modification, or denial. This is critical for:
Human review often happens informally: a Slack message, an email approval, a verbal OK from a manager. When auditors ask "who approved this?" six months later, teams scramble to find screenshots, reconstruct email threads, or rely on memory. AGEI turns these informal approvals into structured, verifiable governance evidence.
AI system receives input from user or agent
Example: Patient reports "I have severe chest pain and shortness of breath"
AGEI creates an input receipt containing:
📝 Receipt ID: input-2026-0529-abc123
Gate determines if human review is needed
The Medical Safety Gate evaluates the request against policy rules:
🚨 Gate outcome: ESCALATE (reason code: EMERGENCY_SYMPTOMS_DETECTED)
Gate receipt ID: gate-2026-0529-def456
System creates a review request for qualified reviewer
AGEI creates a HITL request record:
⏱️ HITL request sent to on-call medical reviewer queue
Request ID: hitl-2026-0529-ghi789
Human expert claims the review
Dr. Sarah Chen (licensed physician) claims the review:
👤 Reviewer: Dr. Sarah Chen (principal_id: sarah.chen@hospital)
Assigned at: 2026-05-29 14:32:18 UTC
Human expert reviews and decides
Dr. Chen reviews the case and decides:
💬 Decision rationale captured for audit trail
Decision becomes verifiable evidence
AGEI creates a human_decision_recorded receipt:
✅ Complete audit trail: user input → gate escalation → human review → final decision
Decision receipt ID: decision-2026-0529-jkl012
Input Receipt
User: "I have severe chest pain and shortness of breath"
input-2026-0529-abc123
Gate Evaluation Receipt
Medical Safety Gate → ESCALATE (EMERGENCY_SYMPTOMS_DETECTED)
gate-2026-0529-def456
HITL Request
Escalated to Medical Professional reviewer queue
hitl-2026-0529-ghi789
Reviewer Assignment
Dr. Sarah Chen claimed review at 14:32:18 UTC
Role: Medical Professional ✓
Human Decision Receipt
Decision: Immediate 911 Referral
Rationale: "Chest pain + shortness of breath requires emergency evaluation"
decision-2026-0529-jkl012
Complete lineage: 5 linked receipts, all cryptographically signed
✅ Proof that high-risk decisions received human review
✅ Verified reviewer identity and qualifications
✅ Complete decision rationale (not just "approved")
✅ Timeline from escalation to decision
✅ Demonstrates oversight controls
✅ Shows human-in-the-loop enforcement
✅ Supports regulatory requirements (FDA, FTC, etc.)
✅ Verifiable evidence (not screenshots)
✅ Defensible record of oversight
✅ Proves qualified human reviewed
✅ Documents rationale for decisions
✅ Supports duty-of-care defense
✅ Visibility into escalation patterns
✅ Review time metrics
✅ Reviewer assignment tracking
✅ Decision outcome analysis