Borrowed Authorship: AI-Mediated Academic Writing, Authorial Disconnect, and the Problem of Intellectual Ownership

  • Ghulam Mohammad Khan 1 ,
  • Manzoor Ahmad Parey 2 ,
  • Mubashir Hamid Mir 3 ,
  • Irfan Ahmad Wagay 4
1 HKM Govt. Degree College Bandipora, Higher Education Department, J&K, India
2 HKM Govt. Degree College Bandipora, Higher Education Department, J&K, India
3 HKM Govt. Degree College Bandipora, Higher Education Department, J&K, India
4 HKM Govt. Degree College Bandipora, Higher Education Department, J&K, India
Received: Revised: Accepted: Published:
Published: 2026-09-30

Abstract

The rapid integration of generative artificial intelligence (AI) into academic writing has directed scholarly attention to a single question: was a given text produced with the help of a machine? This paper argues that a more consequential question concerns the author rather than the artefact: does the person whose name appears on a published paper understand, and remember, what the paper says? The study began as a hypothesis formed during a routine discussion among three faculty members at a degree college in North Kashmir. To test it, we identified twenty already-published research papers across the sciences, social sciences, and humanities: ten flagged by established AI-detection tools as having more than 80 per cent AI usage (an imperfect proxy for actual AI use), and ten showing no AI assistance. We then conducted voluntary, semi-structured interviews with first authors, preferably by telephone so that authors could not immediately revisit their papers, and compared their command of each paper’s concepts, terminology, borrowed ideas, methodology, and contribution to the field. Nine of ten authors of AI-mediated papers showed a marked disconnect from their own content, despite the fluency, coherence, and argumentative strength of the texts. Eight of ten authors who wrote without AI answered readily and confidently and clearly recalled the experience of writing and publishing. The AI-mediated papers also tended to appear in less popular journals, and five of ten contained mismatches in the references cited. These are exploratory associations from a small purposive sample and do not establish that AI use caused the differences. Interpreting these patterns through theories of authorship, levels of processing, cognitive offloading, and processing fluency, we propose the concept of borrowed authorship: a condition in which ownership of a text and possession of the knowledge it contains come apart. We conclude that research integrity regimes should move from detecting machine-generated text towards assessing authorial comprehension.

Keywords

# AI-Mediated Writing # Authorship # Authorial Disconnect # Cognitive Offloading # Memory # Research Integrity # Metacognition # Academic Publishing

Downloads

Download data is not yet available.

Author Biographies

Ghulam Mohammad Khan (HKM Govt. Degree College Bandipora, Higher Education Department, J&K, India)

Dr. Ghulam Mohammad Khan is a writer, literary scholar, and academic from Kashmir. His writing moves between fiction, personal essay, and literary criticism, exploring memory, history, identity, power, and the intimate lives shaped by contested histories. His work is particularly interested in how ordinary lives and forgotten stories become repositories of larger historical and political truths. Khan holds a PhD in English from the Central University of Haryana, where he researched narratology and memory in postcolonial literature. He is the author of Anecdote, History and Kashmir: And Other Essays (2025), a collection that brings together literary criticism, history, memory, and personal experience to question received narratives of Kashmir. His fiction and essays have appeared in The Rumpus, Indian Literature (Sahitya Akademi), India Forum, KITAAB, Out of Print, The Wire, Madras Courier, Muse India, Kashmir Lit, Gulmohur Quarterly, and other literary publications. His long-form essay was published by The Rumpus in August 2026. He is presently an Assistant Professor of English at HKM Government Degree College, Bandipora, Kashmir.

Manzoor Ahmad Parey (HKM Govt. Degree College Bandipora, Higher Education Department, J&K, India)

Dr. Manzoor Ahmad Parey is an Assistant Professor of Education in the Department of Higher Education, Government of Jammu & Kashmir, presently serving at Government Degree College, Bandipora. He completed his Ph.D. in Educational Studies from Jamia Millia Islamia, New Delhi, in 2026. His doctoral research examines schooling and educational realities in Kashmir. His academic interests include school education, critical pedagogy, educational policy and reform and emerging questions concerning AI and education.

Mubashir Hamid Mir (HKM Govt. Degree College Bandipora, Higher Education Department, J&K, India)

Dr. Mubashir Hamid Mir presently works as an Assistant Professor in Physics at HKM Govt. Degree College Bandipora, Jammu and Kashmir. He completed his MSC and Ph.D in Physcis from the University of Kashmir.

Irfan Ahmad Wagay (HKM Govt. Degree College Bandipora, Higher Education Department, J&K, India)

Mr. Irfan Ahmad Wagay presently works as an Assistant Professor in Kashmiri at HKM Govt. Degree College Bandipora, Jammu and Kashmir. He completed his MA and MPhil in Kashmiri from the University of Kashmir.

  1. Alter, A. L., & Oppenheimer, D. M. (2009). Uniting the tribes of fluency to form a metacognitive nation. Personality and Social Psychology Review, 13(3), 219–235. https://doi.org/10.1177/1088868309341564
  2. Asagar, M. S. (2026). Navigating the future. Journal of Interdisciplinary Studies in Education, 15(1), 323–344. https://doi.org/10.32674/cb7h5r51
  3. Barthes, R. (1977). The death of the author. In Image–music–text (S. Heath, Trans., pp. 142–148). Fontana. (Original work published 1967)
  4. Bender, E. M., Gebru, T., McMillan-Major, A., & Shmitchell, S. (2021). On the Dangers of Stochastic Parrots. In ACM Conference on Fairness, Accountability, and Transparency (FAccT) (pp. 610–623). https://doi.org/10.1145/3442188.3445922
  5. Bjork, E. L., & Bjork, R. A. (2011). Making things hard on yourself, but in a good way: Creating desirable difficulties to enhance learning. In M. A. Gernsbacher, R. W. Pew, L. M. Hough, & J. R. Pomerantz (Eds.), Psychology and the real world (pp. 56–64). Worth.
  6. Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. https://doi.org/10.1191/1478088706qp063oa
  7. Carr, N. (2010). The shallows: What the internet is doing to our brains. W. W. Norton.
  8. Chi, M. T. H., & Wylie, R. (2014). The ICAP Framework: Linking Cognitive engagement to active learning Outcomes. Educational Psychologist, 49(4), 219–243. https://doi.org/10.1080/00461520.2014.965823
  9. Connell, R. (2020). Southern theory. In Routledge eBooks. https://doi.org/10.4324/9781003117346
  10. Craik, F. I., & Lockhart, R. S. (1972). Levels of processing: A framework for memory research. Journal of Verbal Learning and Verbal Behavior, 11(6), 671–684. https://doi.org/10.1016/s0022-5371(72)80001-x
  11. Derrida, J. (1981). Plato’s pharmacy. In Dissemination (B. Johnson, Trans., pp. 61–171). University of Chicago Press.
  12. Flavell, J. H. (1979). Metacognition and cognitive monitoring: A new area of cognitive-developmental inquiry. American Psychologist, 34(10), 906–911. https://doi.org/10.1037/0003-066x.34.10.906
  13. Foucault, M. (1977). What is an author? In D. F. Bouchard (Ed.), Language, counter-memory, practice: Selected essays and interviews (pp. 113–138). Cornell University Press. (Original work published 1969)
  14. Gerlich, M. (2025). AI Tools in Society: Impacts on cognitive offloading and the future of critical thinking. Societies, 15(1), 6. https://doi.org/10.3390/soc15010006
  15. Goddard, K., Roudsari, A., & Wyatt, J. C. (2012). Automation bias: a systematic review of frequency, effect mediators, and mitigators. Journal of the American Medical Informatics Association, 19(1), 121–127. https://doi.org/10.1136/amiajnl-2011-000089
  16. Hicks, M. T., Humphries, J., & Slater, J. (2024). ChatGPT is bullshit. Ethics and Information Technology, 26(2). https://doi.org/10.1007/s10676-024-09775-5
  17. International Committee of Medical Journal Editors. (2024). Recommendations for the conduct, reporting, editing, and publication of scholarly work in medical journals. https://www.icmje.org/recommendations/
  18. Ji, Z., Lee, N., Frieske, R., Yu, T., Su, D., Xu, Y., Ishii, E., Bang, Y. J., Madotto, A., & Fung, P. (2023). Survey of Hallucination in Natural Language Generation. ACM Computing Surveys, 55(12), 1–38. https://doi.org/10.1145/3571730
  19. Kahneman, D. (2011). Thinking, fast and slow. Farrar, Straus and Giroux.
  20. Kasneci, E., Sessler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., Gasser, U., Groh, G., Günnemann, S., Hüllermeier, E., Krusche, S., Kutyniok, G., Michaeli, T., Nerdel, C., Pfeffer, J., Poquet, O., Sailer, M., Schmidt, A., Seidel, T., . . . Kasneci, G. (2023). ChatGPT for good? On opportunities and challenges of large language models for education. Learning and Individual Differences, 103, 102274. https://doi.org/10.1016/j.lindif.2023.102274
  21. Kosmyna, N., Hauptmann, E., Yuan, Y. T., Situ, J., Liao, X., Beresnitzky, A. V., Braunstein, I., & Maes, P. (2025). Your Brain on ChatGPT: Accumulation of Cognitive Debt when Using an AI Assistant for Essay Writing Task. arXiv (Cornell University). https://doi.org/10.48550/arxiv.2506.08872
  22. Lee, H., Sarkar, A., Tankelevitch, L., Drosos, I., Rintel, S., Banks, R., & Wilson, N. (2025). The Impact of Generative AI on Critical Thinking: Self-Reported Reductions in Cognitive Effort and Confidence Effects from a survey of knowledge workers. In CHI Conference on Human Factors in Computing Systems (pp. 1–22). https://doi.org/10.1145/3706598.3713778
  23. Liang, W., Yuksekgonul, M., Mao, Y., Wu, E., & Zou, J. (2023). GPT detectors are biased against non-native English writers. Patterns, 4(7), 100779. https://doi.org/10.1016/j.patter.2023.100779
  24. Lincoln, Y. S., & Guba, E. G. (1985). Naturalistic inquiry. Sage.
  25. Ong, W. J. (1982). Orality and literacy: The technologizing of the word. Methuen.
  26. Parasuraman, R., & Manzey, D. H. (2010). Complacency and Bias in Human Use of Automation: an attentional integration. Human Factors the Journal of the Human Factors and Ergonomics Society, 52(3), 381–410. https://doi.org/10.1177/0018720810376055
  27. Plato. (1995). Phaedrus (A. Nehamas & P. Woodruff, Trans.). Hackett.
  28. Polanyi, M. (1966). The tacit dimension. Doubleday.
  29. Ricoeur, P. (1981). Hermeneutics and the human sciences (J. B. Thompson, Ed. & Trans.). Cambridge University Press.
  30. Risko, E. F., & Gilbert, S. J. (2016). Cognitive offloading. Trends in Cognitive Sciences, 20(9), 676–688. https://doi.org/10.1016/j.tics.2016.07.002
  31. Rosenblatt, L. M. (1978). The reader, the text, the poem: The transactional theory of the literary work. Southern Illinois University Press.
  32. Rozenblit, L., & Keil, F. (2002). The misunderstood limits of folk science: an illusion of explanatory depth. Cognitive Science, 26(5), 521–562. https://doi.org/10.1207/s15516709cog2605_1
  33. Slamecka, N. J., & Graf, P. (1978). The generation effect: Delineation of a phenomenon. Journal of Experimental Psychology Human Learning & Memory, 4(6), 592–604. https://doi.org/10.1037/0278-7393.4.6.592
  34. Sparrow, B., Liu, J., & Wegner, D. M. (2011). Google Effects on memory: Cognitive consequences of having information at our fingertips. Science, 333(6043), 776–778. https://doi.org/10.1126/science.1207745
  35. Stiegler, B. (1998). Technics and time, 1: The fault of Epimetheus (R. Beardsworth & G. Collins, Trans.). Stanford University Press.
  36. Stokel-Walker, C. (2023). ChatGPT listed as author on research papers: many scientists disapprove. Nature, 613(7945), 620–621. https://doi.org/10.1038/d41586-023-00107-z
  37. Thorp, H. H. (2023). ChatGPT is fun, but not an author. Science, 379(6630), 313. https://doi.org/10.1126/science.adg7879
  38. Walters, W. H., & Wilder, E. I. (2023). Fabrication and errors in the bibliographic citations generated by ChatGPT. Scientific Reports, 13(1), 14045. https://doi.org/10.1038/s41598-023-41032-5
  39. Weber-Wulff, D., Anohina-Naumeca, A., Bjelobaba, S., Foltýnek, T., Guerrero-Dib, J., Popoola, O., Šigut, P., & Waddington, L. (2023). Testing of detection tools for AI-generated text. International Journal for Educational Integrity, 19(1). https://doi.org/10.1007/s40979-023-00146-z
  40. Wegner, D. M. (1987). Transactive Memory: a contemporary analysis of the group mind. In Springer eBooks (pp. 185–208). https://doi.org/10.1007/978-1-4612-4634-3_9

Similar Articles

You may also start an advanced similarity search for this article.

Copied to clipboard