AI integration in creative industries: Challenges and opportunities

Fei Xue

doi:10.54254/2755-2721/104/20240906

Research Article

Open access

Published on 8 November 2024

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Xue,F. (2024). AI integration in creative industries: Challenges and opportunities. Applied and Computational Engineering,104,21-27.

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AI integration in creative industries: Challenges and opportunities

Fei Xue *^,1,

¹ Peking University

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2755-2721/104/20240906

Abstract

This paper delves into the profound impact of Artificial Intelligence (AI) on the film and creative industries, with a focus on AI-driven content creation, audience engagement, market analytics, and the ethical considerations that accompany technological integration. Through detailed analysis of specific applications, such as scriptwriting, visual effects, personalized content, and recommendation systems, the study reveals how AI technologies are reshaping traditional creative processes and audience interaction. It also addresses the implications of AI on employment within creative sectors, intellectual property, authorship rights, and the importance of cultural sensitivity in AI applications. By examining both the opportunities and challenges presented by AI, the paper aims to provide a balanced view on the future of work in creative industries and the ethical framework needed to guide the responsible use of AI technologies.

Keywords

Artificial Intelligence, Creative Industries, Content Creation, Audience Engagement, Intellectual Property.

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References

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Cite this article

Xue,F. (2024). AI integration in creative industries: Challenges and opportunities. Applied and Computational Engineering,104,21-27.

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About volume

Volume title: Proceedings of the 2nd International Conference on Machine Learning and Automation

Conference website: https://2024.confmla.org/

ISBN：978-1-83558-697-6(Print) / 978-1-83558-698-3(Online)

Conference date: 12 January 2025

Editor：Mustafa ISTANBULLU

Series: Applied and Computational Engineering

Volume number: Vol.104

ISSN：2755-2721(Print) / 2755-273X(Online)

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