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Evidence record 5227 · automatically gathered

Decision Evidence Maturity Model for Agentic AI: A Property-Level Method Specification

Agentic AI systems produce decision evidence at scale through execution telemetry, but property-level reconstruction often fails when an external party asks a specific governance question about a specific decision: the assembled evidence is insufficient to answer it. We name this pattern the container fallacy: the automatic equation of evidence-container presence with audit sufficiency. This paper specifies the Decision Evidence Maturity Model (DEMM), a property-level reconstructability method f

Record details

Published: 29 April 2026
Source: arXiv
Category: Research
Topics: Regulation · Agents & autonomy · Transparency
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 (29 April 2026), “Decision Evidence Maturity Model for Agentic AI: A Property-Level Method Specification,” evidence record 5227, https://ethics.ai/record/5227 (originally published by arXiv).

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