Skip to main content

Artificial Intelligence in Art Generation: An Open Issue

  • Conference paper
  • First Online:
Image Analysis and Processing - ICIAP 2023 Workshops (ICIAP 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14366))

Included in the following conference series:

  • 255 Accesses

Abstract

This paper aims to give a contribution to one of the most discussed issues in recent times, in both scientific and art communities: the use of Artificial Intelligence (AI) based tools for creating artworks. As the issue is strongly multidisciplinary, we structured the paper as a debate between experts in several fields (computer science, art history, philosophy) to listen to their specific points of view on the topic. The first part of the paper is focused on the relationship between the artists and the use of AI techniques. Furthermore, we organized an art exhibition with images created by an AI-based tools, to also collect people’s feedbacks. We submitted to the viewers a questionnaire and their answers are reported in the experimental section. This, the second part is more focused on the visitors’ perspective and about their perception on the use of these tools.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 89.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 119.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Kugel, P.: Artificial intelligence and visual art. Leonardo 14(2), 137–139 (1981)

    Article  Google Scholar 

  2. Santos, I., Castro, L., Rodriguez-Fernandez, N., Torrente-Patino, A., Carballal, A.: Artificial neural networks and deep learning in the visual arts: a review. Neural Comput. Appl. 33, 121–157 (2021)

    Article  Google Scholar 

  3. Cetinic, E., She, J.: Understanding and creating art with AI: review and outlook. ACM Trans. Multim. Comput. Commun. Appl. (TOMM) 18(2), 1–22 (2022)

    Google Scholar 

  4. Goodfellow, I., et al.: Generative adversarial networks. Commun. ACM 63(11), 139–144 (2020)

    Article  MathSciNet  Google Scholar 

  5. Elgammal, A., et al.: Generating ‘Art’ by Learning about Styles and Deviating from Style Norms (2017). Medium.com

    Google Scholar 

  6. Tan, W.R., Chan, C.S., Aguirre, H.E., Tanaka, K.: ArtGAN: artwork synthesis with conditional categorical GANs. In: 2017 IEEE International Conference on Image Processing (ICIP), pp. 3760–3764. IEEE (2017)

    Google Scholar 

  7. Ramesh, A., et al.: Zero-shot text-to-image generation. In: International Conference on Machine Learning, pp. 8821–8831. PMLR (2021)

    Google Scholar 

  8. Ramesh, A., Dhariwal, P., Nichol, A., Chu, C., Chen, M.: Hierarchical text-conditional image generation with clip latents. arXiv preprint arXiv:2204.06125 (2022)

  9. OpenAI. https://openai.com/

  10. Gatys, L.A., Ecker, A.S., Bethge, M.: Image style transfer using convolutional neural networks. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 2414–2423 (2016)

    Google Scholar 

  11. Hien, N.L.H., Van Huy, L., Van Hieu, N.: Artwork style transfer model using deep learning approach. Cybern. Phys. 10, 127–137 (2021)

    Article  Google Scholar 

  12. Hong, J.W., Curran, N.M.: Artificial intelligence, artists, and art: attitudes toward artwork produced by humans vs. artificial intelligence. ACM Trans. Multim. Comput. Commun. Appl. (TOMM), 15(2s), 1–16 (2019)

    Google Scholar 

  13. Ragot, M., Martin, N., Cojean, S.: AI-generated vs. human artworks. A perception bias towards artificial intelligence? In: Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, pp. 1–10 (2020)

    Google Scholar 

  14. Selbst, A.D., Boyd, D., Friedler, S.A., Venkatasubramanian, S., Vertesi, J.: Fairness and abstraction in sociotechnical systems. In: Proceedings of the Conference on Fairness, Accountability, and Transparency, pp. 59–68 (2019)

    Google Scholar 

  15. Buskirk, M., Nixon, M. (Eds.): The Duchamp Effect. MIT Press (1996)

    Google Scholar 

  16. Miltos Manetas. http://www.gamevideoart.org/miltos-manetas

  17. Klingemann, M.: Photography through the eyes of a machine’, interview within the framework of the 2017 EyeEm Photography Festival, 15–17 September (2017). https://www.eyeem.com/blog/marioklingemann-ai-art. Accessed 18 Aug 2022

  18. Obvious Collective. www.obvious-art.com

  19. Bender E.M.: You are not a parrott and chatbot is not a human. Intelligencer (2023)

    Google Scholar 

  20. Dickie, G.: Defining Art. Am. Philos. Quart. 6(3), 253–256 (1969). http://www.jstor.org/stable/20009315

  21. Fried, M., Welling, J.: Why photography matters as art as never before: Michael Fried in conversation with James Welling. Aperture 195, 82–85 (2009). http://www.jstor.org/stable/24473437

  22. Wertheimer, M.: Gestalt Theory (1938)

    Google Scholar 

  23. Boris Eldagsen Blog. https://www.eldagsen.com/sony-world-photography-awards-2023/

  24. New York Times. https://www.nytimes.com/2022/09/02/technology/ai-artificial-intelligence-artists.html

  25. Minturn, K.: Dubuffet, Lévi-Strauss, and the idea of art brut. RES: Anthropol. Aesthet. 46(1), 247–258 (2004)

    Google Scholar 

  26. Mantoan, D.: Arte convenzionale – ovvero – perché non possono esistere artisti realmente anticonformisti. In: POST, vol. 4, pp. 102–109. Mimesis, Milano (2016)

    Google Scholar 

  27. Jenny, L., Trezise, T.: From Breton to Dali: the adventures of automatism. October 51, 105–114. https://doi.org/10.2307/778893

  28. Chella, A., Manzotti, R.: Jazz and machine consciousness: towards a new turing test. In: Revisiting Turing and His Test: Comprehensiveness, Qualia, and the Real World (AISB/IACAP Symposium, Alan Turing Year 2012), pp. 49–53 (2012)

    Google Scholar 

  29. Craiyon. https://www.craiyon.com/

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Giuseppe Mazzola .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Mazzola, G., Carapezza, M., Chella, A., Mantoan, D. (2024). Artificial Intelligence in Art Generation: An Open Issue. In: Foresti, G.L., Fusiello, A., Hancock, E. (eds) Image Analysis and Processing - ICIAP 2023 Workshops. ICIAP 2023. Lecture Notes in Computer Science, vol 14366. Springer, Cham. https://doi.org/10.1007/978-3-031-51026-7_23

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-51026-7_23

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-51025-0

  • Online ISBN: 978-3-031-51026-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics