AI Safety Dynamics: Dependability vs Controllability Simulation

Dual Pipeline Telemetry NOMINAL DISTRIBUTION
Stream: 12 pkt/s
Auto Throughput
0 /s
Human Queue Latency
320 ms
Operator Fatigue
0%
Catastrophic Risk
0.02
Core Governance Trade-Off: Autonomous Dependability executes low-latency decisions safely within familiar distribution boundaries. Escalating out-of-distribution cases to Human Controllability prevents silent failure but builds severe queue latency under operator fatigue.

Dependability vs Controllability Dynamics

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Incoming requests reach the triage gate, where confidence scores dictate whether tasks route to the autonomous fast path or escalate to human review. Raising the autonomy gate to point nine five diverts more requests into the human queue, which rapidly builds fatigue and multiplies effective latency. Conversely, lowering the gate pushes traffic through the autonomous path; without a sensitive circuit breaker, distribution drift causes undetected silent breaches. Balancing the confidence threshold against operator throughput and sensitive circuit breakers keeps risk low while sustaining streaming performance.

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