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Evidence record 11755 · automatically gathered

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. 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 lightweight methodology for auditable trustworthiness lev

Record details

Published: 17 July 2026
Source: arXiv
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.

Same publisher byline · Shared topic: Regulation

A Methodology for Auditable Trustworthiness Levels in AI Lifecycle Governance

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How to cite this record

ethics.ai (17 July 2026), “A Methodology for Auditable Trustworthiness Levels in AI Lifecycle Governance,” evidence record 11755, https://ethics.ai/record/11755 (originally published by arXiv).

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