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May 8, 20260 citationsOpen Access

AI-Generated Language in a Pre-Verification State: Why Knowledge Requires Conditions Beyond Output

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ILIsabella Lanagwei

Key Points

  • The aim is to explore the conditions necessary for AI-generated outputs to qualify as knowledge.
  • Analysis of epistemological frameworks surrounding AI-generated language.
  • Examination of embodied and enactive theories of cognition.
  • Contrast case study of the Bunun pasibutbut ritual of Taiwan.
  • AI systems function in a pre-verification state, lacking mechanisms for establishing knowledge.
  • Knowledge requires tacit normativity and coordinative attunement beyond mere language output.
  • Distributed recognition is essential for the acceptance of AI-generated information as knowledge.

Abstract

This paper examines the epistemological conditions under which AI-generated outputs can be considered knowledge. It argues that current AI systems operate in a pre-verification state in which outputs are produced and circulated without an established verification mechanism. Drawing on embodied and enactive theories of cognition and an analytical contrast case from the Bunun pasibutbut ritual of Taiwan, the paper proposes that knowledge establishment requires tacit normativity, coordinative attunement, and distributed recognition beyond linguistic output alone.

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Cite This Study

Isabella Lanagwei (2026) studied this question.

synapsesocial.com/papers/69fd7f86bfa21ec5bbf08142https://doi.org/10.5281/zenodo.20047387
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