ScholarWorks@숙명여자대학교

초록

Recently, the advancement of generative AI technology and the rise of image-centered SNS platforms have transformed the painting-based art environment. These changes challenge traditional practices of creation and distribution and affect the overall art ecosystem. While previous studies focused on copyright and technology adoption, few addressed structural or practical issues in real-world art contexts. This study analyzes the impact of generative AI images and digital distribution on painting-centered art from the perspective of practitioners. The research involved a review of literature, statistical data, and policy reports related to generative AI and SNS-based image platforms. Quantitative analysis was conducted using the 2024 Internet Usage Survey and KOSIS data. In-depth interviews with painters, appraisers, and critics were also conducted to examine field perceptions of generative image expansion. Results showed weakened authorship, opaque distribution, and reduced authenticity in appreciation. Key problems included copyright gaps, lack of platform oversight, and diminished user discernment. Practitioners suggested legal definitions, mandatory metadata labeling, stronger regulation, and media literacy education. This study concludes with policy implications and future research directions.

키워드