A Methodology for Auditable Trustworthiness Levels in AI Lifecycle Governance.

arXiv:2607.16130v2 Announce Type: replace-cross Abstract: 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