The question of AI authorship: Literary-theoretical perspectives

In this article, we focus on the conceptualization of Artificial Intelligence (AI) as a literary author. Although it has received consideration in other disciplines, the conceptual issues remain comparatively underexplored in literary studies. In an era that challenges the hegemony of the human, how should we posit AI as author? What possibilities, or impossibilities, could be offered by way of literary approaches to generative AI? Our exploration engages with an array of theoretical frameworks on authorship, text and textuality, readership, and interpretation. We revisit critical perspectives from the first and second halves of the twentieth century as well as more contemporary turns in literary theory to reflect on computer-generated text and ensuing interpretive methods. In doing so, we place the rethinking of authorship within a history of thought from which AI scholarship can still learn.

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Publication Details

Journal
The Information Society
Published
2026-09-11
DOI
https://doi.org/10.1080/01972243.2026.2724248
Primary Topic
Digital Humanities and Scholarship
Type
article
Field-Weighted Citation Impact
0.00

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article

The question of AI authorship: Literary-theoretical perspectives

Anil Bas, Imke van Heerden, Çağdaş Duman
The Information Society
Digital Humanities and Scholarship
article

The question of AI authorship: Literary-theoretical perspectives

Anil Bas, Imke van Heerden, Çağdaş Duman
article en

Abstract

In this article, we focus on the conceptualization of Artificial Intelligence (AI) as a literary author. Although it has received consideration in other disciplines, the conceptual issues remain comparatively underexplored in literary studies. In an era that challenges the hegemony of the human, how should we posit AI as author? What possibilities, or impossibilities, could be offered by way of literary approaches to generative AI? Our exploration engages with an array of theoretical frameworks on authorship, text and textuality, readership, and interpretation. We revisit critical perspectives from the first and second halves of the twentieth century as well as more contemporary turns in literary theory to reflect on computer-generated text and ensuing interpretive methods. In doing so, we place the rethinking of authorship within a history of thought from which AI scholarship can still learn.

The Information Society
King's College London (GB), The Association of Comparative Study of World Literature (KR), Boğaziçi University (TR), Hacettepe University (TR), Marmara University (TR), Bournemouth University (GB)
Türkiye Bilimsel ve Teknolojik Araştırma Kurumu, Engineering and Physical Sciences Research Council, H2020 Marie Skłodowska-Curie Actions
Quality Education
Openalex Percentile: Top 2%
Digital Humanities and Scholarship
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