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Building Defensible AI Decisions: How Leading Organizations Test, Evaluate, and Stand Behind AI Systems is a practical guide to designing AI systems that are transparent, accountable, and legally defensible. It explains how leading organizations implement rigorous testing, evaluation, governance, and documentation practices to ensure their AI decisions are reliable, ethical, and aligned with regulatory expectation.