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Evidence record 5962 · automatically gathered

AI Integrity: A New Paradigm for Verifiable AI Governance

AI systems increasingly shape high-stakes decisions in healthcare, law, defense, and education, yet existing governance paradigms -- AI Ethics, AI Safety, and AI Alignment -- share a common limitation: they evaluate outcomes rather than verifying the reasoning process itself. This paper introduces AI Integrity, a concept defined as a state in which the Authority Stack of an AI system -- its layered hierarchy of values, epistemological standards, source preferences, and data selection criteria --

Record details

Published: 13 April 2026
Source: arXiv
Category: Research
Topics: Regulation · Safety & alignment · Healthcare · Military & security
Retrieved: 14 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 (13 April 2026), “AI Integrity: A New Paradigm for Verifiable AI Governance,” evidence record 5962, https://ethics.ai/record/5962 (originally published by arXiv).

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