This MITRE white paper introduces a repeatable process for AI assurance that systematically identifies, assesses, and mitigates risks associated with AI-enabled systems. It defines an AI Assurance Plan to be maintained throughout a system's lifecycle and outlines a four-step process: discovering assurance needs, characterizing risks, evaluating them, and managing those risks. Supported by infrastructure like MITRE’s Assurance Lab and pilot case studies, the approach aligns with NIST and ISO frameworks and emphasizes context-aware, mission-specific implementation for sectors such as healthcare and aviation.

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