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Evidence record 11734 · automatically gathered

A Methodology for Auditable Trustworthiness Levels in AI Lifecycle Governance

arXiv:2607.16130v1 Announce Type: new 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 a transparent and contestable way. Yet existing work on AI trustworthiness remains either too high-level to support lifecycle monitoring and reassessment or too narrowly metric-driven to connect with governance needs. We therefore propose a lightweig

Record details

Published: 20 July 2026
Source: arXiv cs.CY
Category: Research
Topics: Regulation · Transparency
Retrieved: 20 July 2026

source-onlyevidence status

These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.

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How to cite this record

ethics.ai (20 July 2026), “A Methodology for Auditable Trustworthiness Levels in AI Lifecycle Governance,” evidence record 11734, https://ethics.ai/record/11734 (originally published by arXiv cs.CY).

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