AI Integrity is defined as verifiable protection of an AI system's four-layer Authority Stack from corruption, with PRISM as the measurement framework.
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cs.AI 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
PRISM defines 27 behavioral risk signals from structural anomalies in AI value, evidence, and source hierarchies, evaluated via dual thresholds on forced-choice data from seven models.
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AI Integrity: A New Paradigm for Verifiable AI Governance
AI Integrity is defined as verifiable protection of an AI system's four-layer Authority Stack from corruption, with PRISM as the measurement framework.
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PRISM Risk Signal Framework: Hierarchy-Based Red Lines for AI Behavioral Risk
PRISM defines 27 behavioral risk signals from structural anomalies in AI value, evidence, and source hierarchies, evaluated via dual thresholds on forced-choice data from seven models.