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Evidence record 5737 · automatically gathered

From Consumption to Reflection: Designing Human-AI Relations for Stable Reasoning

Large language models (LLMs) have transformed how humans access information, but not how we reason with it. Their fluency accelerates consumption while bypassing the slow, reflective processes that underpin sound judgment. This paper introduces Relational Reflective Intelligence (RRI), an inference-time governance layer that operationalizes reflection through auditable reasoning loops. RRI operates not inside the model but around it, providing a practical structure for stable, auditable reasonin

Record details

Published: 17 April 2026
Source: arXiv
Category: Research
Topics: Regulation · 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 (17 April 2026), “From Consumption to Reflection: Designing Human-AI Relations for Stable Reasoning,” evidence record 5737, https://ethics.ai/record/5737 (originally published by arXiv).

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