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Cited by 14Epistemology, Ethics, and MetaphysicsEthics and Social Impacts of AIEducational Strategies and Epistemologies

The epistemological consequences of large language models: rethinking collective intelligence and institutional knowledge

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Hila, Angjelin·2026·AI & SOCIETY
DOI 10.1007/s00146-025-02426-3
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  • Transformations from cultural corpora to datasets, datasets to base models, and base models to instruction-tuned systems enact epistemic and normative boundaries that delimit what forms of meaning become legible, what interpretive options are foregrounded, and which traditions of validation remain visible or are displaced.

    “Across the generative pipeline, successive transformations from cultural corpora to datasets, from datasets to base models, and from base models to instruction-tuned systems enact epistemic and normative boundaries that delimit what forms of meaning become legible, what interpretive options are foregrounded, and which traditions of validation remain visible or are displaced [11,17,22].”

    From Who speaks when machines read scripture: boundary-making and interpretive authority in AI-mediated religious knowledge (2026) · cites this paper as [17]

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Authors
Hila, A.
Affiliations
The University of Texas at Austin (US)
Corresponding author
Hila, Angjelin
Venue
AI & SOCIETY
Publisher
Springer Science and Business Media LLC
Published
2025-06-28
Volume
41
Issue
1
Pages
79-97
ISSN
  • 0951-5666 (ISSN-L)
  • 1435-5655
DOI
10.1007/s00146-025-02426-3
OpenAlex
W4411751791
Cited by
14
References
9
Citations by year
2026: 13 · 2025: 1
FWCI
62.68
Type
journal article
Language
en
Open access
Licence
Locations
  • AI & Society (publishedVersion)
  • arXiv (Cornell University) (submittedVersion, cc-by)
  • arXiv (Cornell University) (cc-by)
Topics
  • Social Sciences › Arts and Humanities › Philosophy › Epistemology, Ethics, and Metaphysics
  • Social Sciences › Safety Research › Ethics and Social Impacts of AI
  • Social Sciences › Psychology › Developmental and Educational Psychology › Educational Strategies and Epistemologies
Keywords
large language models, human-LLM interaction, collective epistemology, epistemic justification, internalism, externalism, reliabilism, reflective knowledge, collective rationality, epistemic norms, epistemic duties, epistemic vices, institutional knowledge, epistemic dependence

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