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The Epistemology of Algorithmic Narrative and the Problem of Creative Authenticity

Bibliographic Data

ID19562859
AuthorsTiegue Vieira Rodrigues (0000-0001-6011-4788, Universidade Federal de Santa Maria, corresponding author)
Year2026
Volume39
Issue1
Publication date2026-03-01
Open AccessYes
TypeARTICLE
VenuePhilosophy & Technology (JOURNAL)
Journal identifiersISSN: 2210-5433 • E-ISSN: 2210-5441
PublisherSpringer Science and Business Media LLC (PUBLISHER)
DOI10.1007/s13347-025-01011-2
OpenAlexW7125480190
LanguageEN
Citations received1
References cited17

In this commentary of Mollema’s “AI-generated literature, distant writing and the reader: Reflections on Floridi and Calvino” we examine some epistemological implications of his analysis of AI-generated literature and distant writing . Mollema supports a de-anthropomorphized conception of narrative creation because he believes writers and Big Language Models share identical functions in navigating narrative space to preserve narrative coherence or isotropy. The author’s thesis undergoes an analytical epistemological evaluation that analyses three essential questions about narrative production creative knowledge. Can we attribute genuine knowledge-how to algorithmic systems in relation to creative domains? The automation of literary production generates what kind of potential threats to knowledge acquisition? The research uses philosophical knowledge-how, understanding, intentionality and social epistemology to demonstrate Mollema’s accurate identification of narrative creation similarities between humans and machines but his framework potentially conceals fundamental epistemological differences. Through purposes and meanings, the human writer experiences narrative space which enables interpretative practices to create epistemic value in creative work. Mollema makes his most important contribution by showing how production activities can be automated yet interpretation for meaning creation remains impossible to automate. Literary knowledge shows human systems receive less than artificial systems because human interpretation remains essential for meaning creation although navigation skills can be divided between humans and machines. The final section of the commentary evaluates how Mollemass literary reductionism theory affects the diversity of knowledge in creative activities

Narrative · Narrative criticism · Narrative network · Philosophy of technology · Qualia · Digital Humanities and Scholarship · Ethics and Social Impacts of AI · Narrative Theory and Analysis

  • On Large Language Models, De-anthropomorphized Narrative Production, and Deflationary Understanding

    Open Access•Warmhold Jan Thomas Mollema•Philosophy & Technology•2026

  • The Value of Knowledge and the Pursuit of Understanding

    Open Access•Jonathan L Kvanvig•Value of Knowledge and the…•2003

  • Groups of diverse problem solvers can outperform groups of high-ability problem solvers

    Open Access•Lu Hong, Sarah E Page et al.•Proceedings of the National…•2004

  • Knowing How

    Jason Stanley, Timothy Willlamson et al.•The Journal of Philosophy•2001

  • Recovering Understanding

    Linda Zagzebski•Knowledge, truth, and duty•2001

  • Creativity and artificial intelligence

    Open Access•Margaret A Boden•Artificial Intelligence•1998

  • Minds, brains, and programs

    Open Access•John R Searle•Behavioral and Brain Sciences•1980

  • Social Empiricism

    Miriam Solomon•Social empiricism•2001

  • The Division of Cognitive Labor

    Philip Kitcher•The Journal of Philosophy•1990

  • AI-generated Literature, Distant Writing and the Reader

    Open Access•Warmhold Jan Thomas Mollema•Philosophy & Technology•2025

  • Is Understanding A Species Of Knowledge

    Stephen R Grimm•The British Journal for the…•2006

  • The Fate of Knowledge

    Helen E Longino•Fate of Knowledge•2002

Citations per year1
Citation span2026 - 2026 (1)
Highly citedNo

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