{
  "id": 5785,
  "url": "https://arxiv.org/abs/2604.14881v1",
  "title": "The Missing Knowledge Layer in AI: A Framework for Stable Human-AI Reasoning",
  "summary": "Large language models are increasingly integrated into decision-making in areas such as healthcare, law, finance, engineering, and government. Yet they share a critical limitation: they produce fluent outputs even when their internal reasoning has drifted. A confident answer can conceal uncertainty, speculation, or inconsistency, and small changes in phrasing can lead to different conclusions. This makes LLMs useful assistants but unreliable partners in high-stakes contexts. Humans exhibit a sim",
  "authors": "Rikard Rosenbacke, Carl Rosenbacke, Victor Rosenbacke, Martin McKee",
  "category": "research",
  "topics": "regulation,healthcare",
  "orgs": null,
  "regions": null,
  "published_at": "2026-04-16T11:19:00.000Z",
  "fetched_at": "2026-07-14T16:32:02.058Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/5785",
  "original_url": "https://arxiv.org/abs/2604.14881v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}