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Paper ID:IJSREM62607

Reimagining the Film Industry: A Comprehensive Analysis of Artificial Intelligence from Script to Screen

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM62607

Volume:

10 |

5 |

May 2026

Pages:

1-9

Publication Frequency:

Monthly (12 issues per year)

DOI
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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

AV

Akash V

Amity School of Film and Drama

Amity University Uttar Pradesh

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DAD

Dr. Angana Datta

Amity School of Film and Drama

Amity University Uttar Pradesh

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DAD

Dr. Angana Datta

Amity School of Film and Drama

Amity University Uttar Pradesh

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Abstract

The film industry has historically evolved alongside technological innovation. Artificial intelligence now represents the next major transformation, uniquely capable of influencing every stage of the filmmaking pipeline simultaneously. This paper presents a comprehensive analytical examination of AI integration across the complete script-to-screen production pipeline, drawing on case study analysis, technological workflow evaluation, and review of contemporary academic literature and industry data. The study investigates large language models in screenwriting, AI-driven story analysis, machine learning in previsualization, neural rendering in virtual production, automated camera systems, and markerless performance capture. Post-production applications examined include automated rotoscoping, AI-assisted colour grading, video upscaling, and AI-generated personalised marketing content. Industry case studies spanning The Mandalorian, Everything Everywhere All at Once, Here (2024), and Disney’s AI dubbing pipeline provide empirical grounding. The research further evaluates ethical and legal dimensions including performer consent, intellectual property rights, training data legality, algorithmic bias, and workforce displacement. The findings demonstrate that artificial intelligence functions most effectively as a collaborative system that augments human creative capability rather than replacing it.

KEYWORDS

Key Words: Artificial Intelligence Virtual Production Filmmaking Neural Rendering Post-Production Ethics

Cite This Article

Akash V, Dr. Angana Datta, Dr. Angana Datta, "Reimagining the Film Industry: A Comprehensive Analysis of Artificial Intelligence from Script to Screen," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 5, pp. 1-9, May 2026.

Full Article/Conclusion

This paper has examined the growing integration of artificial intelligence across the complete film production pipeline, from script development through production and post-production to distribution and marketing. The evidence demonstrates that AI is not a single technology but an expanding family of capabilities — natural language processing, computer vision, neural rendering, generative models, and predictive analytics — each finding specific applications at different pipeline stages.   Five substantive case studies confirmed that AI integration delivers measurable efficiency gains — typically 30–60% cost or time reductions in specific pipeline stages — while the most critically acclaimed and commercially successful deployments maintained strong human creative direction. This finding supports the central theoretical position: AI functions most effectively and ethically as a collaborative technological partner that amplifies human creative capability rather than replacing it.   The ethical and legal landscape around AI in filmmaking remains in active formation. The 2023 SAG-AFTRA and WGA agreements established important precedents, but international harmonisation, training data governance, and algorithmic accountability require sustained policy attention. The film industry has an opportunity — and responsibility — to establish governance frameworks that ensure AI benefits are broadly shared while fundamental human rights in creative practice are protected. Ultimately, the future of cinema will be defined not by what AI can do autonomously, but by what human filmmakers can achieve with AI as a creative partner.

References

[1] Bordwell, D., & Thompson, K. (2019). Film art: An introduction (12th ed.). McGraw-Hill Education. [2] Brown, B. (2020). Cinematography: Theory and practice (4th ed.). Routledge. [3] C2PA Coalition. (2024). Content credentials: Open standard for digital provenance. Coalition for Content Provenance and Authenticity. [4] Davenport, T., & Ronanki, R. (2018). Artificial intelligence for the real world. Harvard Business Review, 96(1), 108-116. [5] Elgammal, A., Liu, B., Elhoseiny, M., & Mazzone, M. (2017). CAN: Creative adversarial networks. Proceedings of ICCC, 96-103. [6] European Union. (2024). Artificial Intelligence Act. Official Journal of the European Union. [7] IATSE. (2023). AI provisions in basic agreement: Summary of key protections. [8] Kerlow, I. V. (2019). The art of 3D computer animation and effects (5th ed.). Wiley. [9] Khan, A., & Nguyen, T. (2022). Artificial intelligence in filmmaking. Journal of Media Technology Studies, 14(2), 45-59. [10] Manovich, L. (2013). Software takes command. Bloomsbury Academic.

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Publication Date

5/8/2026

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Review Rounds: 2

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