Artificial Intelligence as a Co-Creative Tool for Writing Screenplays
DOI:
https://doi.org/10.63300/Keywords:
Artificial Intelligence (AI), Screenwriting, Co-Creation, Creative Writing, Narrative Generation, Generative AI, Human-AI Collaboration, StorytellingAbstract
The emergence of artificial intelligence (AI) in creative domains means a transformation moment in the development of narration, especially in the field of script writing. Since AI systems are increasingly sophisticated, no longer limited to data processing or automation, but actively participate as co -creating agents in the narrative process. This abstract examines the role of AI as a tool for collaboration in screenwriting, investigating how it increases human creativity, streamlines generating ideas and transforms traditional authorial models.
AI controlled language models, such as Openai Chatgpt, Sudowrite and Jasper AI, are now able to generate stories outlines, design arcs, dialogue design and even analyze narrative cohesion. Rather than replacing the writer, these tools act as digital collaborators - they concern thoughts, increase structural accuracy, and offer alternatives that cause new narrative directions. In this model, screenwriters can simulate "co-" scenarios, experiment with tone and style, and get real-time feedback on the story of the story and the development of the characters.
The article also discusses the practical advantages of AI integration, including increased writing efficiency, access to various cultural knowledge and support for overcoming the writer block. At the same time, it recognizes significant challenges such as ethical issues concerning authorship, intellectual property and the risk of creative homogenization. The contribution emphasizes the importance of maintaining human supervision and the narrative intention to maintain authenticity and emotional depth of narration.
Case studies and industrial experiments-like are AI generated by short film sunspring-that AI can serve as a valuable asset in the rooms of writers and independent projects. We are looking forward to the convergence of AI and screenwriting is ready to promote the creation of narration about transmission, interactive experience of narration and globalized content adapted to a diverse audience.
This study eventually concluded that the future of screenwriting cannot be in the human versus machine, but in a man with a machine - where artificial intelligence serves as a dynamic partner in the process of narration and expands the boundaries of imagination, efficiency and innovation in contemporary film.
Downloads
References
1. Amabile, T. M. (1996). Creativity in context: Update to the social psychology of creativity. Westview Press.
2. Boden, M. A. (2016). AI and creativity: Why machines need arts and humanities. Philosophical Transactions of the Royal Society A, 374(2083), 20150058. https://doi.org/10.1098/rsta.2015.0058
3. Bringsjord, S., & Govindarajulu, N. S. (2015). Artificial intelligence. In E. N. Zalta (Ed.), The Stanford Encyclopedia of Philosophy (Fall 2015 Edition). Retrieved from https://plato.stanford.edu/archives/fall2015/entries/artificial-intelligence/
4. Elgammal, A., Liu, B., Elhoseiny, M., & Mazzone, M. (2017). CAN: Creative adversarial networks, generating “art” by learning about styles and deviating from style norms. arXiv preprint arXiv:1706.07068.
5. Gervás, P. (2019). Computational creativity. Communications of the ACM, 62(3), 70–79. https://doi.org/10.1145/3284381
6. Huang, X., & Wu, Y. (2020). AI-assisted scriptwriting: Opportunities and challenges. Journal of Creative Technologies, 5(2), 45-60.
7. Jockers, M. L. (2014). Text analysis with R for students of literature. Springer.
8. Kumar, S., & Rose, C. (2019). Enhancing creativity with AI tools in writing and filmmaking. International Journal of Human-Computer Studies, 125, 81-94. https://doi.org/10.1016/j.ijhcs.2018.12.003
9. Lau, T., & Botelho, L. (2022). The role of AI in collaborative creative writing: A systematic review. Creativity Research Journal, 34(1), 12-29. https://doi.org/10.1080/10400419.2022.2042025
10. Lund, H. H., & Hansen, M. (2021). Ethical concerns in AI creativity: Intellectual property and authorship. AI & Society, 36(4), 1059–1072. https://doi.org/10.1007/s00146-020-01024-5
11. Manovich, L. (2013). Software takes command. Bloomsbury Academic.
12. McIntyre, P. (2020). Creativity and cultural production: Issues for media practice. Palgrave Macmillan.
13. Smith, G., & Whitehead, J. (2021). AI-assisted storytelling: Opportunities, challenges, and ethical considerations. Journal of Media Innovations, 8(1), 53-67. https://doi.org/10.5617/jmi.v8i1.3604.
Downloads
Published
Issue
Section
License

This work is licensed under a Creative Commons Attribution 4.0 International License.
Article published in Academic Research Journal of Science and Technology (ARJST) is an open access under the Creative Commons Attribution 4.0 International License -BY, (http://creativecommons.org/licenses/by/4.0/), which permits use, distribution and reproduction in any medium, provided the original work is properly cited.