The Interconnection Between Artificial Intelligence (AI) and the Film Industry

Authors

  • Dr. Jonathan Ngugi University of Lay Adventists of Kigali

DOI:

https://doi.org/10.70619/vol5iss9pp1-11

Keywords:

Artificial Intelligence (AI), Film industry, pre-production, production, post-production

Abstract

The advent of Artificial Intelligence (AI) has ushered in a transformative era for the film industry, revolutionizing the creative landscape from pre-production to distribution. This paper explores the multifaceted role of AI in filmmaking, examining its impact on script analysis, cinematography, editing, and beyond. In pre-production, AI tools like StoryFit offer insights into scripts, enhancing character development and audience engagement. AI facilitates precise cinematography and innovative techniques such as markerless 3D motion capture during production. Post-production sees AI streamlining editing processes, color grading, sound design, VFX, and creating realistic crowd behaviors with different software systems. Furthermore, AI’s predictive capabilities are reshaping film distribution, with companies like Warner Bros. leveraging it to forecast box office performance. The interplay between AI and cinema not only reflects human-like intelligence but also catalyzes unprecedented storytelling and visual effects. This paper delves into case studies, the interconnection of AI and film in the three phases of filmmaking, and the speculative future of AI’s integration in film, highlighting the need for a balanced approach that fosters creativity while addressing efficiency and economy, and quality imperatives.

References

Chen, X., & Chung, J. (2024). A Case Study on AI-Driven DEEPMOTION Motion Capture Technology. The Institute of Internet, Broadcasting, and Communication.

Datta, A., Goswami, R. (2021). The Film Industry Leaps into Artificial Intelligence: Scope and Challenges by the Filmmakers. In: Rathore, V.S., Dey, N., Piuri, V., Babo, R., Polkowski, Z., Tavares, J.M.R.S. (eds) Rising Threats in Expert Applications and Solutions.

Advances in Intelligent Systems and Computing, vol 1187. Springer, Singapore. https://doi.org/10.1007/978-981-15-6014-9_80

Davenport, T. H., & Bean, R. (2023). The Impact of Generative AI on Hollywood and

Entertainment. MIT Sloan Management Review. Read more

Hermann, I. (2023). Artificial intelligence in fiction: between narratives and metaphors. AI & Society, 38(319-329). Retrieved from Artificial intelligence in fiction: between narratives and metaphors | AI & SOCIETY (springer.com)

Hsu, C., et al. (2019). AI technologies for story structure formulation. International Journal of Creative Writing and Storytelling.

Liu, X., et al. (2021). AI-supported English writing approaches for university students. Journal of Educational Technology & Society.

Ni, Y., Dong, F., Zou, M., & Li, W. (2022). Movie Box Office Prediction Based on Multi-Model

Ensembles. Information, 13(6), 299. Retrieved from https://www.mdpi.com/20782489/13/6/299

Reddy, V.S., Kathiravan, M. & Reddy, V.L. (2024). Revolutionizing animation: unleashing the power of artificial intelligence for cutting-edge visual effects in films. Soft Comput 28, 749–763 (2024). Retrieved from https://doi.org/10.1007/s00500-023-09448-3

References

Rivetai. (2024). How AI is Rewriting the Script of Filmmaking. Retrieved from https://www.blog.rivetai.com/how-ai-is-rewriting-the-script-of-filmmaking/

Schank, R. (1975). Contextual Dependency Theory. Retrieved from InstructionalDesign.org on Script Theory.

Sheils, M. (2023). The Future of Cinematography: AI-Powered Camera Movement. Retrieved from https://www.blog.rivetai.com/how-ai-is-rewriting-the-script-of-filmmaking/

Singh, H., Rastogi, A., & Kaur, K. (2023). Artificial intelligence as a tool in the visual effects and film industry. In Recent Advances in Computing Sciences (pp. 312-316). CRC Press.

Taplin, J. (2023). (Director Emeritus, Annenberg Innovation Lab, USC). Personal communication. Retrieved from https://www.jontaplin.com/about

Vitrina. (2023). AI in Filmmaking: Revolutionizing the Entire Process from Pre-Production to

Distribution. Retrieved from https://vitrina.ai/blog/ai-in-filmmaking/

Vitrina. (2023, August 25). AI in Filmmaking: Revolutionizing the Entire Process from Pre-

Production to Distribution. Retrieved from https://vitrina.ai/blog/ai-in-filmmaking/

Wan, J. W. (2024). The Application Strategy of Intelligent Computer Multimedia Technology in Film and Television Post Production. Journal of Computers, 35(2), 183-197.

Wan, J. W. (2024). The Application Strategy of Intelligent Computer Multimedia Technology in Film and Television Post Production. Journal of Computers, 35(2), 183-197. Retrieved from https://www.cs.wisc.edu/

Wu, H., Santarra, T., Leece, M., Vargas, R., Jhala, A., &(2020). Joint Attention for Automated

Video Editing. ACM International Conference on Interactive Media Experiences

Yi, (2023). AI in Scriptwriting: Enhancing Creativity & Streamlining Process. Retrieved from Junia AI’s blog on AI in Scriptwriting.

Yu, Z. (2021). Multimodal sensing and analysis for human-machine communication. Columbia University.

Yuan, W., & Shibasaki, R. (2021). Utilizing AI for Market Trend Analysis in Film Distribution. Journal of Marketing Analytics, 9(2), 113-127. Retrieved from https://link.springer.com/article/10.1057/s41270-021-00115-2

Downloads

Published

2025-09-23

How to Cite

Ngugi, D. J. . (2025). The Interconnection Between Artificial Intelligence (AI) and the Film Industry. Journal of Information and Technology, 5(9), 1–11. https://doi.org/10.70619/vol5iss9pp1-11

Issue

Section

Articles

Most read articles by the same author(s)