A Methodology for Auditable Trustworthiness Levels in AI Lifecycle Governance

By Andrea Ferrario · Paper · cs.CY

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. Yet existing work on AI trustworthiness rem

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