The Creative Code: Generative AI and the Transformation of Authorship in the Screen Industries

Authors

  • Priya Palanimurugan Meenakshi Academy of Higher Education and Research (Deemed to Be University), Chennai. Author
  • Dr. V.Shanthi Principal - Faculty of Humanities and Science, Computer Science, Meenakshi Academy of Higher Education and Research (Deemed to Be University), Chennai Author
  • Dr.Thulasi Bharathi.M Assistant Professor, Dept. of Visual Communication, Assistant Professor, SRM INSTITUTE OF SCIENCE AND TECHNOLOGY, Vadapalani Author
  • M. Sakthivel Dept. of Bachelor of Arts (Journalism and Digital Media) Indira Gandhi National Open University, New Delhi Author

DOI:

https://doi.org/10.63300/arjst0205202506

Keywords:

Generative AI, Authorship, Screen Industries, Creative Collaboration

Abstract

The rapid integration of Generative Artificial Intelligence (GenAI) into the screen industries is challenging long-held notions of creativity, authorship, and artistic ownership. This paper explores how GenAI tools—ranging from script-writing assistants to visual generators and voice synthesis technologies—are reshaping creative workflows in cinema, television, and digital content production. Drawing on interdisciplinary frameworks from media studies, authorship theory, and AI ethics, this study critically examines the evolving role of the human creator in an age where machines can mimic and co-create narrative structures, visual aesthetics, and character arcs. Through interviews with industry professionals, content creators, and AI developers, as well as textual analysis of AI-generated screen content, the research reveals a growing trend toward hybrid authorship models, where human intention and algorithmic suggestion coalesce.

The results highlight key transformations: (1) GenAI is reducing production costs and timelines but raising questions about originality and creative control; (2) traditional screenwriters and directors are negotiating new roles as curators and collaborators of machine-generated content; and (3) industry policies and copyright frameworks are lagging behind, leading to legal ambiguities surrounding intellectual property rights. While GenAI democratizes access to content creation, it also risks homogenizing narrative structures due to data-trained biases. Ultimately, this paper argues for a redefinition of authorship in the screen industries—one that recognizes the collaborative entanglement of human vision and machine logic. As screen culture moves deeper into the algorithmic age, understanding this transformation is vital for ethical innovation and equitable recognition of creative labor.

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Author Biographies

  • Priya Palanimurugan, Meenakshi Academy of Higher Education and Research (Deemed to Be University), Chennai.

    Priya Palanimurugan, Research Scholar, Dept. of  Visual Communication, Meenakshi Academy of Higher Education and Research (Deemed to Be University), Chennai.

    Email: priyaofficial2205@gmail.com

  • Dr. V.Shanthi, Principal - Faculty of Humanities and Science, Computer Science, Meenakshi Academy of Higher Education and Research (Deemed to Be University), Chennai

    V. Dr. Shanthi, Principal - Faculty of Humanities and Science, Computer Science, Meenakshi Academy of Higher Education and Research (Deemed to Be University), Chennai Email: principal@maherfhs.ac.in

  • Dr.Thulasi Bharathi.M, Assistant Professor, Dept. of Visual Communication, Assistant Professor, SRM INSTITUTE OF SCIENCE AND TECHNOLOGY, Vadapalani

    Dr. Thulasi Bharathi.M,  Assistant Professor, Dept. of Visual Communication, Assistant Professor, SRM INSTITUTE OF SCIENCE AND TECHNOLOGY, Vadapalani

    Email: campusthulasib@srmist.edu.in

  • M. Sakthivel, Dept. of Bachelor of Arts (Journalism and Digital Media) Indira Gandhi National Open University, New Delhi

    M. Sakthivel, Dept. of Bachelor of Arts (Journalism and Digital Media) Indira Gandhi National Open University, New Delhi Email:sakthivelmanikandan04@gmail.com

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Published

2025-11-01

How to Cite

The Creative Code: Generative AI and the Transformation of Authorship in the Screen Industries. (2025). Academic Research Journal of Science and Technology (ARJST), 2(05), 38-50. https://doi.org/10.63300/arjst0205202506

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