ARTIFICIAL INTELLIGENCE AND LITERARY CREATIVITY IN CONTEMPORARY ENGLISH FICTION
Keywords:
artificial intelligence, literary creativity, contemporary English fiction, digital humanities, computational creativityAbstract
The rapid development of artificial intelligence (AI) has increasingly influenced creative practices across various fields, including literature. This study investigates the role of artificial intelligence in shaping literary creativity in contemporary English fiction. Using a qualitative research design, the study applies discourse-oriented literary analysis to examine how AI technologies contribute to narrative production, transform the concept of authorship, and influence readers’ perceptions of creativity. Data were collected through document analysis of contemporary literary texts and relevant scholarly literature addressing artificial intelligence, digital humanities, and computational creativity. The findings reveal that AI functions as a supportive creative tool that assists writers in generating narrative ideas, exploring alternative storytelling structures, and experimenting with stylistic variations. The study also demonstrates that the integration of AI challenges traditional notions of authorship by introducing collaborative forms of creativity involving both human writers and technological systems. Furthermore, reader perceptions of AI-generated texts highlight ongoing debates regarding originality, authenticity, and emotional depth in literary production. Overall, the study suggests that artificial intelligence does not replace human creativity but instead reshapes creative practices and expands possibilities for narrative innovation in contemporary English fiction.
References
Boden, M. A. (2016). AI: Its nature and future. Oxford University Press.
Bowen, G. A. (2009). Document analysis as a qualitative research method. Qualitative Research Journal, 9(2), 27–40.
Braun, V., & Clarke, V. (2021). Thematic analysis: A practical guide. Sage.
Creswell, J. W., & Creswell, J. D. (2018). Research design: Qualitative, quantitative, and mixed methods approaches (5th ed.). Sage.
Danesi, M. (2025). Artificial intelligence and literary creativity. In AI in society. Oxford University Press.
Elias, S., Alshammari, B. S., Alfraidi, K. N., & Karam, K. M. (2025). Rethinking literary creativity in the digital age: A comparative study of human versus AI playwriting. Humanities and Social Sciences Communications, 12(1), 1–12. https://doi.org/10.1057/s41599-025-04999-2
Floridi, L., Cowls, J., Beltrametti, M., Chatila, R., Chazerand, P., Dignum, V., Luetge, C., Madelin, R., Pagallo, U., Rossi, F., Schafer, B., Valcke, P., & Vayena, E. (2018). AI4People: An ethical framework for a good AI society. Minds and Machines, 28(4), 689–707.
Haase, J., & Hanel, P. H. P. (2023). Artificial muses: Generative AI chatbots have risen to human-level creativity. arXiv preprint.
Holzner, N., Maier, S., & Feuerriegel, S. (2025). Generative AI and creativity: A systematic literature review. arXiv preprint.
Manovich, L. (2020). Cultural analytics. MIT Press.
McCosker, A., & Wilken, R. (2020). Automating vision: The social impact of the new camera consciousness. Routledge.
Miller, A. I. (2019). The artist in the machine: The world of AI-powered creativity. MIT Press.
Nampira, A. A., Li, Z., & Jing, W. (2024). AI-augmented creative writing and narrative innovation. Journal of Creativity and Innovation, 2(3).
Runco, M. A., & Jaeger, G. J. (2019). The standard definition of creativity. Creativity Research Journal, 31(2), 1–10.
Simonton, D. K. (2018). Defining creativity. Journal of Creative Behavior, 52(1), 80–90.
Stock, O., & Strapparava, C. (2016). From computational humor to computational creativity. AI Magazine, 37(1), 59–71.
Sternberg, R. J., & Lubart, T. I. (2018). The nature of creativity. Cambridge University Press.
Veale, T., Cardoso, F. A., & Pérez y Pérez, R. (2019). Computational creativity: The final frontier? Frontiers in Artificial Intelligence, 2, 6. https://doi.org/10.3389/frai.2019.00006
Vincent, J. (2021). AI-generated fiction and the future of storytelling. Journal of Digital Culture, 12(3), 45–59.
Zylinska, J. (2020). AI art: Machine visions and warped dreams. Open Humanities Press.