Human-AI System Resiliency Workbench

Operational Domains PRESETS

AI Autonomy Level 75%

Degree of algorithmic dispatch & automated triage without human validation.

Human Oversight Capacity 40%

Available human telemetry bandwidth to intervene when edge cases arise.

Chaos Shock Intensity 60%

Frequency of unprecedented black-swan anomalies defying model weights.

Cognitive Saturation Ceiling 80%

Threshold where alarm fatigue causes human supervisors to defer to flawed machine output.

Kevin Fong's Law: As automation approaches 95%, operators lose systemic situational awareness, precipitating catastrophic failure during out-of-distribution turbulence.

System Status

Stable (Edge of Chaos)

Dynamic operational posture

Resiliency Score 72.4 Index out of 100

Adaptation Latency 1.4s Response time to shock

Predicted Failures 2 Compromised network nodes

Critical Bottleneck Human Override Latency Primary vulnerability point

COUPLED GRAPH: AI INFERENCE NODES & HUMAN ARBITRATION JUNCTIONS

D3 FORCE SOLVER: ACTIVE

AI Algorithm Node

Human Supervision Node

Stressed / Failing Link

Resilient Feedback Loop

SYSTEMS THEORY & THE "MINUTE SIX" PRINCIPLE

In high-stakes emergencies, algorithms excel during routine operations ("Minutes 1 to 5"), but when unpredictable compounding failures occur ("Minute Six"), rigid optimization routines brittle. Retaining human operators not as error sources, but as dynamic sense-makers with discretionary override power, is what preserves critical infrastructure from collapse.

Sources: The Economist Babbage: "How to survive at the edge of chaos" (Sept 2026) · Interview with Kevin Fong OBE, Author of Minute Six