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Evidence record 5785 · automatically gathered

The Missing Knowledge Layer in AI: A Framework for Stable Human-AI Reasoning

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

Record details

Published: 16 April 2026
Source: arXiv
Category: Research
Topics: Regulation · Healthcare
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 (16 April 2026), “The Missing Knowledge Layer in AI: A Framework for Stable Human-AI Reasoning,” evidence record 5785, https://ethics.ai/record/5785 (originally published by arXiv).

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