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A Methodology for Auditable Trustworthiness Levels in AI Lifecycle Governance
AI governance increasingly requires judgments about whether an AI system remains adequately trustworthy over time, whether observed changes are tolerable, and how such judgments should be documented in a transparent and contestable way. Existing approaches remain either too high-level to support lif
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