Operational AI Deployment Assurance: Governance-State Orchestration Under Threshold-Sensitive Deployment Conditions -- A Governance Framework for High-Stakes AI Systems

In three linesOADA is a governance framework for high-stakes AI systems that translates fairness metric instability, threshold sensitivity, and operational uncertainty into deployment-oriented assurance decisions. Tested on facial recognition and healthcare, it introduces Deployment Assurance Scores, escalation states, and Threshold Stability Zones to actively govern deployment readiness rather than rely on post-hoc auditing.

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