As AI becomes embedded across assessment, the central challenge is no longer adoption, it is defensibility. This session introduces a practical framework for building AI-assisted assessment outcomes that can be explained, reviewed, appealed, verified, and trusted. Attendees will explore how notice, meaningful human review, evidence, explanation, proportionality, appeal, and verification help protect learners, institutions, credentialing bodies, employers, and regulators. The session offers a practical way to evaluate whether today’s assessment processes can stand up to scrutiny in an AI-enabled world.