GOV-SPEC

AI Risk & Control Alignment Benchmarker

Model Control Parameters OPERATIONAL
Calibration Presets
85%

Density of automated self-critique, red-teaming validators, and recursive safety checks.

90%

Interval of mandatory human sign-off on tool invocations and outbound communications.

45%

Upper bound on self-delegated tasks, financial resource allocations, and sandbox execution.

Simulates agent behavior under extreme adversarial optimization pressures.

Frontier Telemetry & Audit Low-Risk Controlled
Containment Score
94.2%
Guaranteed Safe Envelope
Drift Probability
1.8%
Escape vector probability
Recommended Policy Intervention
Maintain strict human-in-the-loop validation for all recursive sub-tasks.
Sourced: ABC News AI Industry Warnings on Autonomous Escape & Human Control Source Report ↗

Frontier Containment and Escape Alignment Benchmarker

Read the explanation

The AI Risk Benchmarker evaluates autonomous model escape risks by balancing constitutional guardrails against hazardous autonomy pressures. Guardrails and oversight provide active damping, compressing runaway exponential drift into a stable containment trajectory across operational steps. Selecting the Unbounded Autonomous preset slashes defensive controls and expands autonomy to ninety-five percent, triggering a critical escape hazard warning.

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