AIGC and Human Collaborative Creation Model: A New Paradigm of Digital Art

DOI

10.2991/978-2-38476-452-5_62How to use a DOI?

Keywords

AIGC; GAN; human-machine collaboration; generative art; AI ethics

Abstract

The rise of Artificial Intelligence Generated Content (AIGC) is reshaping artistic creation through human-machine collaboration. This paper outlines AIGC’s technological evolution and its application in generative and performance art, with a focus on Generative Adversarial Networks (GANs). It highlights a co-creation model where human creativity is supported by AI’s computational power. AIGC enhances efficiency, stimulates inspiration, and fosters interdisciplinary art education. However, the paper also emphasizes the need for critical frameworks to address ethical concerns, such as data privacy and cultural homogenization. Ultimately, AIGC expands artistic boundaries while prompting new reflections on authorship and creativity.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Yifan Yang
PY  - 2025
DA  - 2025/07/31
TI  - AIGC and Human Collaborative Creation Model: A New Paradigm of Digital Art
BT  - Proceedings of the 2025 4th International Conference on Science Education and Art Appreciation (SEAA 2025)
PB  - Atlantis Press
SP  - 492
EP  - 499
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-452-5_62
DO  - 10.2991/978-2-38476-452-5_62
ID  - Yang2025
ER  -