{
  "id": 5227,
  "url": "https://arxiv.org/abs/2605.04093v1",
  "title": "Decision Evidence Maturity Model for Agentic AI: A Property-Level Method Specification",
  "summary": "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",
  "authors": "Oleg Solozobov",
  "category": "research",
  "topics": "regulation,agents-autonomy,transparency",
  "orgs": null,
  "regions": null,
  "published_at": "2026-04-29T09:59:36.000Z",
  "fetched_at": "2026-07-14T16:31:35.575Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/5227",
  "original_url": "https://arxiv.org/abs/2605.04093v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}