Authors :
Sandhya Nandan; Dr. Shabina Khan
Volume/Issue :
Volume 10 - 2025, Issue 12 - December
Google Scholar :
https://tinyurl.com/y8m9jzj9
Scribd :
https://tinyurl.com/3znaf28c
DOI :
https://doi.org/10.38124/ijisrt/25dec1324
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Abstract :
The rapid integration of generative artificial intelligence into writing practices has elicited renewed concern about
authorship, creativity, and intellectual responsibility. Prevailing debates often revolve around the question of whether
machines can produce creative texts; yet, such framings overlook a more basic transformation: namely, a shift in the
cognitive processes of writers as they compose in concert with algorithmic systems. This paper positions AI-assisted writing
as both a cognitive and an ethical issue. It argues that the main impact of algorithms is not about the production of text, per
se, but about the changing of creative thought processes. Combining theories of authorship, cognitive storytelling, extended
mind concepts, and posthumanist perspectives, this analysis examines how AI shapes intention, judgment, and the ineffable
struggle of writing. Synthesizing recent literature, including Indian studies published after 2015, it shows that AI helps
thinking when used thoughtfully, by facilitating idea generation and experimenting with different stylistic options. The
evidence also underlines hazards: erosion of explicit intent, dimming the author’s voice, and how thinking is reduced when
suggestions are adopted without critical assessment. While the paper does argue that the challenge of authorship lies less in
a lack of creativity than in transformations to the ways in which writers create, driven by shifting distributions of
responsibility and control between humans and machines. The distinction drawn between thinking with and thinking
through machines establishes a theoretical framework for responsibly integrating AI into the practice of writing in such a
way as to preserve the accountability of an author. It concludes with a prescriptive stance for a moral approach to authorship
that foregrounds reflexivity, cultural literacy, and prudent judgment in an era of AI-assisted writing.
Keywords :
AI-Mediated Writing, Authorship and Intentionality, Creative Cognition, Extended Mind Theory, Algorithmic Creativity, Ethics of Literary Authorship.
References :
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- Foucault M. What is an author? In: Rabinow P, editor. The Foucault Reader. New York: Pantheon Books; 1984. p. 101–120.
- Bennett A. The author still matters. J Theory Cult Stud. 2005;19(3):147–155. doi:10.1177/0263276405056008
- Herman D. Storytelling and the sciences of mind. Cambridge (MA): MIT Press; 2013.
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- Menary R. Cognitive integration and the extended mind. Philos Phenomenol Res. 2010;81(2):227–254. doi:10.1111/j.1933-1592.2010.00331.x
- Heersmink R. Distributed cognition and distributed morality. Ethics Inf Technol. 2017;19(2):85–98. doi:10.1007/s10676-017-9413-6
- Hayles NK. How we think: Digital media and contemporary technogenesis. Chicago: University of Chicago Press; 2012.
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- Floridi L, Cowls J. A unified framework of five principles for AI in society. Harv Data Sci Rev. 2019;1(1). doi:10.1162/99608f92.8cd550d1
- Kantosalo A, Riihiaho S, Toivanen J, et al. Interaction evaluation for human–computer co-creativity. Comput Hum Behav. 2015;52:265–276. doi:10.1016/j.chb.2015.06.010
- Jakesch M, Buschek D, Zalmanson L, et al. Human–AI collaboration in creative writing. Proc ACM Hum-Comput Interact. 2023;7(CSCW1):1–28. doi:10.1145/3579500
- Novak J. Creativity, difficulty, and the role of struggle in artistic practice. Creat Res J. 2018;30(2):123–131. doi:10.1080/10400419.2018.1446506
- Das R. Artificial intelligence, authorship, and academic integrity in India. J Acad Ethics. 2022;20(4):451–467. doi:10.1007/s10805-022-09427-9
- Bhat P, Kaur A. Ethical challenges of AI-assisted writing in Indian higher education. AI Soc. 2023;38(4):1469–1481. doi:10.1007/s00146-022-01534-6
- Chatterjee S, Dey N. Generative AI, creativity, and cultural labour in the Global South. Technol Soc. 2024;76:102351. doi:10.1016/j.techsoc.2023.102351
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The rapid integration of generative artificial intelligence into writing practices has elicited renewed concern about
authorship, creativity, and intellectual responsibility. Prevailing debates often revolve around the question of whether
machines can produce creative texts; yet, such framings overlook a more basic transformation: namely, a shift in the
cognitive processes of writers as they compose in concert with algorithmic systems. This paper positions AI-assisted writing
as both a cognitive and an ethical issue. It argues that the main impact of algorithms is not about the production of text, per
se, but about the changing of creative thought processes. Combining theories of authorship, cognitive storytelling, extended
mind concepts, and posthumanist perspectives, this analysis examines how AI shapes intention, judgment, and the ineffable
struggle of writing. Synthesizing recent literature, including Indian studies published after 2015, it shows that AI helps
thinking when used thoughtfully, by facilitating idea generation and experimenting with different stylistic options. The
evidence also underlines hazards: erosion of explicit intent, dimming the author’s voice, and how thinking is reduced when
suggestions are adopted without critical assessment. While the paper does argue that the challenge of authorship lies less in
a lack of creativity than in transformations to the ways in which writers create, driven by shifting distributions of
responsibility and control between humans and machines. The distinction drawn between thinking with and thinking
through machines establishes a theoretical framework for responsibly integrating AI into the practice of writing in such a
way as to preserve the accountability of an author. It concludes with a prescriptive stance for a moral approach to authorship
that foregrounds reflexivity, cultural literacy, and prudent judgment in an era of AI-assisted writing.
Keywords :
AI-Mediated Writing, Authorship and Intentionality, Creative Cognition, Extended Mind Theory, Algorithmic Creativity, Ethics of Literary Authorship.