認知科学
Online ISSN : 1881-5995
Print ISSN : 1341-7924
ISSN-L : 1341-7924
特集 創造性研究の最新地図
画像生成 AI と対峙した専門家の「作風」に係る語りの分析
岡部 大介平綿 素望若月 玲之大谷 紀子
著者情報
ジャーナル フリー HTML

2025 年 32 巻 1 号 p. 103-112

詳細
Translated Abstract

While some artists feel threatened by AI that generates works of art such as novels, paintings, and musical compositions, others see great potential in using generative AI as a tool to perpetually present works that embody their unique authorship. This paper aims to provide concrete examples of how generative AI stimulates the creativity of experts and the kinds of narratives it can evoke. The analysis focuses on interviews with a commercial cartoonist and a digital artist, respectively, in which they shared their impressions, differences from their authorship, and potential applications when confronted with the image generation AI trained on their own works and the illustrations it generated. By categorizing the statements from these interviews, two categories emerged: “authorship as qualitative calculations” and “authorship as a manifestation of ties to generative AI.” The study demonstrates that organizing a field in which artists engage with generative AI based on different criteria and calculations fosters a dialogue that relativizes and reexamines authorship from multiple perspectives. Additionally, it reveals that in the collaboration between the artifact and the artist the perception of authorship is transformed, as authorship is creatively expressed and they inspire each other.

References
 
© 2025 日本認知科学会
feedback
Top