Role of AI in Cinema

Authors

  • Bhapkar Nikesh Department of Computer Science, PVG’S College of Science and commerce, Pune Author
  • Ubale Vinod Department of Computer Science, PVG’S College of Science and commerce, Pune Author
  • Satpute Krushnakant Department of Computer Science, PVG’S College of Science and commerce, Pune Author

DOI:

https://doi.org/10.59828/ijercs.v2i2.18

Keywords:

Artificial Intelligence, Cinema Technology, Film Production, Machine Learning, Visual Effects (VFX), Virtual Production, Script Analysis, AI Editing Tools, Deep Learning, Digital Actors, Content Recommendation Systems, Film Analytics, Automated Dubbing, Generative AI, Ethical Issues in AI

Abstract

Artificial Intelligence (AI) is rapidly reshaping creative industries, with the film sector being one of the most visibly affected areas. AI-driven technologies now support faster and more cost-efficient content creation while also enabling higher levels of personalization for audiences (McKinsey & Company, 2023). In modern filmmaking, AI is applied across multiple stages, including script assistance, intelligent video editing, AI-generated visual effects, digital marketing optimization, and predictive analytics used to study viewer behavior and preferences (Gomez-Uribe & Hunt, 2016).

This paper examines the relationship between AI tools and human creativity, focusing on how these systems influence productivity, workflow efficiency, and creative decision-making in film production. It also discusses key challenges linked to AI adoption, such as ethical accountability, content authenticity, performer consent, and the importance of strong data governance and security practices (UNESCO, 2022; SAG-AFTRA, 2023). Finally, the study considers the future direction of cinema, suggesting that the most sustainable path forward lies in balanced collaboration between human creative talent and AI technologies rather than full automation.

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Published

2026-02-28

How to Cite

Role of AI in Cinema. (2026). International Journal of Emerging Research in Computer Science, 2(2), 30-38. https://doi.org/10.59828/ijercs.v2i2.18