Skip to main content
SpringerLink
Log in

A New Study of AI Artists for Changing the Movie Industries

  • Brief Communication
  • Published:
Digital Society Aims and scope Submit manuscript

Abstract

Due to the rise of artificial intelligence (AI) in the arts, this paper aims to explore the use of AI for reducing film production costs through the creation of realistic images. Additionally, we investigate whether AI can recreate the same character at the same age. Without needing to replace the original actor, qualitative data collection tools were employed to study three distinct population groups within the film industry: film industry professionals, moviegoers, and technologists. Our research reveals that AI, or AI artists in film production, still face limitations in significantly reducing production costs. Furthermore, it is crucial to engage a text expert in the image production process for films who possesses a comprehensive understanding of film principles in order to achieve images that align with the project’s requirements. Moreover, the introduction of the AI artist technique allows for the recreation of a character at the same age portrayed by the same actor, even if that actor may have passed away. Consequently, obtaining consent from the relatives of the actor or actress becomes a necessary step. Furthermore, the aspect of audience acceptance does not hold significant interest, as it demands a greater level of realism in both the image and the actors, surpassing what AI can provide. Therefore, this paper underscores the increasing influence of AI in the arts, particularly within film production, and examines its potential to reduce costs and recreate characters.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7

Availability of Data and Materials

The authors confirm that the data supporting the findings of this study are available within the article and/or its supplementary materials.

References

  • Aikaterini, P. (2020). Ai - Da: The world’s first humanoid AI artist. Will AI become art’s next medium? (Master’s Thesis). International Hellenic University.

  • A-masiri, P., & Kerdvibulvech, C. (2023). Anime face recognition to create awareness. International Journal of Information Technology. https://doi.org/10.1007/s41870-023-01391-8

    Article  Google Scholar 

  • Bao, Y. (2022). Application of virtual reality technology in film and television animation based on artificial intelligence background. Scientific Programming, 2022(120), 1–8.

    Google Scholar 

  • Blanchard, A., & Taddeo, M. (2023). The ethics of artificial intelligence for intelligence analysis: A review of the key challenges with recommendations. Digital Society, 2, 12. https://doi.org/10.1007/s44206-023-00036-4

    Article  PubMed  PubMed Central  Google Scholar 

  • Caoui, E. H. (2019). Estimating the costs of standardization: Evidence from the movie industry. In Clemens Fuest (Ed.). The Review of Economic Studies, 90(2), 597–633. https://doi.org/10.1093/restud/rdac036

    Article  Google Scholar 

  • Chan, H. P. (2021). Promise and potential pitfalls: Re-creating images or generating new images for AI modeling. Radiology: Artificial Intelligence, 3, 4.

    Google Scholar 

  • Fanni, R., & Giancotti, F. (2023). Ethical artificial intelligence in the Italian defence: A case study. Digital Society, 2, 29. https://doi.org/10.1007/s44206-023-00056-0

    Article  Google Scholar 

  • Gagliano, P., Blustein, C., & Oppenheim, D. (2021). Agence, a dynamic film about (and with) artificial intelligence. SIGGRAPH Immersive Pavilion, 17(1–17), 2.

    Google Scholar 

  • Grba, D. (2022). The Cabinet of Wolfgang von Kempelen: AI art and creative agency. ISEA2022: 27th International Symposium on Electronic Art, Barcelona.

  • Han, J., & Shao, L. (2022). Study film and television postproduction and innovation strategy based on an artificial intelligence algorithm. Mobile Information Systems, 2022(3084493), 11. https://doi.org/10.1155/2022/3084493

    Article  Google Scholar 

  • Hong, S., Yang, D., Choi, J., & Lee, H. (2018). Inferring semantic layout for hierarchical text-to-image synthesis. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2018, 7986–7994.

    Google Scholar 

  • Kerdvibulvech, C., & Dong, Z. Y. (2021). Roles of artificial intelligence and extended reality development in the post-COVID-19 era. In: Stephanidis, C., et al. HCI International 2021 - Late Breaking Papers: Multimodality, eXtended Reality, and Artificial Intelligence. HCII 2021. Lecture Notes in Computer Science, 13095. Springer, Cham. https://doi.org/10.1007/978-3-030-90963-5_34

  • Li, Y., & Kim, T. (2019). Analysis of commercial film production in the age of artificial intelligence -Focusing on Alibaba Wood case. Journal of next-Generation Convergence Information Services Technology, 8(4), 465–474.

    Article  Google Scholar 

  • Li, Y. (2021). Film and TV animation production based on artificial intelligence AlphaGd. Mobile Information Systems, 2021(1104248), 8. https://doi.org/10.1155/2021/1104248

    Article  Google Scholar 

  • Li, X. (2022a). Research on reform and breakthrough of news, film, and television media based on artificial intelligence. Journal of Intelligent Systems, 31(1), 992–1001.

    Article  Google Scholar 

  • Li, Y. (2022b). Research on the application of artificial intelligence in the film industry. China, 2021 International Conference on Image, Video Processing, and Artificial Intelligence, 12076, EDP Sciences.

  • Liu, X., & Pan, H. (2022). The path of film and television animation creation using virtual reality technology under artificial intelligence. Scientific Programming, 1712929:1–1712929:8

  • Momot, I. (2022). Artificial intelligence in filmmaking process. JAMK University of Applied Sciences.

    Google Scholar 

  • Smith, J. R., Joshi, D., Huet, B., Hsu, W., & Cota, J. (2017). Harnessing A.I. for augmenting creativity: Application to movie trailer creation. MM '17: Proceedings of the 25th ACM International Conference on Multimedia, 1799–1808.

  • Subramonyam, H., Seifert, C., & Adar, E. (2021). Towards a process model for co-creating AI experiences. DIS '21: Proceedings of the 2021 ACM Designing Interactive Systems, 1529–1543, USA: ACM.

  • Rasrichai, K., Chantarutai, T., & Kerdvibulvech, C. (2023). Recent roles of artificial intelligence artists in art circulation. Digital Society, 2, 15. https://doi.org/10.1007/s44206-023-00044-4

    Article  Google Scholar 

  • Singh, H., Kaur, K., & Singh, P. P. (2023). Artificial intelligence as a facilitator for film production process. 2023 International Conference on Artificial Intelligence and Smart Communication (AISC), 969–972. https://doi.org/10.1109/AISC56616.2023.10085082

  • Wan, Y., & Ren, M. (2021). New visual expression of anime film based on artificial intelligence and machine learning technology. Journal of Sensors, 2021(9945187), 10. https://doi.org/10.1155/2021/9945187

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Graduate School of Communication Arts and Management Innovation, National Institute of Development Administration (NIDA), 148 Seri Thai Rd, Khlong Chan, Bang Kapi District, Bangkok, 10240, Thailand

    Araya Sookhom, Piyachat Klinthai, Pimpakarn A-masiri & Chutisant Kerdvibulvech

Authors
  1. Araya Sookhom
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Piyachat Klinthai
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Pimpakarn A-masiri
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Chutisant Kerdvibulvech
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

The authors contributed equally to this work.

Corresponding author

Correspondence to Chutisant Kerdvibulvech.

Ethics declarations

Consent to Participate

Not applicable.

Competing Interests

The authors declare no competing interests.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Sookhom, A., Klinthai, P., A-masiri, P. et al. A New Study of AI Artists for Changing the Movie Industries. DISO 2, 37 (2023). https://doi.org/10.1007/s44206-023-00065-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s44206-023-00065-z

Keywords

Search

Navigation