AI and the Evolution of Literary Practice: Reconstructing Creation, Authorship, and Interpretation

Artificial Intelligence (AI) is not only transforming various industries but also reshaping the landscape of literature. The intersection of AI and literature presents an exciting frontier in both creative expression and literary analysis. This paper explores how AI is influencing English-language literary creation, its impact on the understanding of literary works, and its growing role in literary education and interpretation. It investigates how AI-generated works are altering traditional notions of authorship, creativity, and narrative structures. Furthermore, it also examines AI’s utility in literary analysis and education, considering both its potential to enhance and its limitations in deepening literary understanding. Through these lenses, the paper argues that AI is both a catalyst for innovation and a challenge to long-established conventions in literary studies.

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Publication Details

Journal
International Journal For Multidisciplinary Research
Published
2025-09-23
DOI
https://doi.org/10.36948/ijfmr.2025.v07i05.56397
Primary Topic
Digital Humanities and Scholarship
Type
article
Field-Weighted Citation Impact
0.00
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article

AI and the Evolution of Literary Practice: Reconstructing Creation, Authorship, and Interpretation

Dipankar Roy
International Journal For Multidisciplinary Research
Digital Humanities and Scholarship
article

AI and the Evolution of Literary Practice: Reconstructing Creation, Authorship, and Interpretation

Dipankar Roy
article en

Abstract

Artificial Intelligence (AI) is not only transforming various industries but also reshaping the landscape of literature. The intersection of AI and literature presents an exciting frontier in both creative expression and literary analysis. This paper explores how AI is influencing English-language literary creation, its impact on the understanding of literary works, and its growing role in literary education and interpretation. It investigates how AI-generated works are altering traditional notions of authorship, creativity, and narrative structures. Furthermore, it also examines AI’s utility in literary analysis and education, considering both its potential to enhance and its limitations in deepening literary understanding. Through these lenses, the paper argues that AI is both a catalyst for innovation and a challenge to long-established conventions in literary studies.

International Journal For Multidisciplinary ResearchVol. 7(5)
Openalex Percentile: Top 73%
Digital Humanities and Scholarship
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