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June 28, 2026Open Access

Human–AI Interaction as the Fundamental Unit of Knowledge: An Embedded Cognition Framework

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TLTuan Anh Lai

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Overview

Preprint proposes a framework for knowledge generation via human–AI interaction, highlighting real-world constraints and validation.

Key Points

  • This work aims to establish how knowledge is formed through interactions between humans and AI, emphasizing contextual influences.
  • Developed a unified framework for human–AI knowledge generation.
  • Examined the role of interaction, environment, and systems in knowledge stability.
  • Analyzed institutional systems like scientific publishing for their validation roles.
  • Proposed the human–AI interaction loop as central to emergent knowledge.
  • Identified real-world constraints as critical for shaping knowledge interpretation.
  • Highlighted the function of institutional mechanisms in stabilizing knowledge within social systems.

Cite This Study

Tuan Anh Lai (2026) studied this question.

synapsesocial.com/papers/6a40bb1461bb0a67205c6b50https://doi.org/10.5281/zenodo.20901237
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1The microfoundations of human-AI knowledge co-creation – an emergent knowledge perspective2026
  2. 2The Architect of Knowledge: Cognitive Authority in Human-AI Cognitive Systems2026
  3. 3The Architect of Knowledge: Cognitive Authority in Human-AI Cognitive Systems2026
  4. 4Collaborative GenAI – Humanized Interaction Fields for Knowledge Creation2025
  5. 5Cognitive Human–AI Synergy as a Condition for Higher Knowledge Creation2026