환경 생태계 지속 가능성 문제 해결을 위한 AI 기반 미디어아트 창작 연구

An AI-Based Media Art Creation Methodology for Addressing Environmental and Ecosystem Sustainability Challenges

초록

Despite the worsening environmental crisis—particularly the collapse of terrestrial ecosystems and the rise in endangered species—public awareness remains limited. In response to the limitations of radical environmental activism, which often lacks empathy and persuasive impact, this study proposes a generative AI-based media art methodology as an alternative approach. Public interest in endangered species was analyzed using search trend APIs, and visual artworks in Renaissance portrait style were created using DALL·E and StyleGAN-NADA. The artworks were exhibited, and a post-survey showed that over 80% of participants reported increased environmental awareness. These results demonstrate that AI-generated art can effectively combine emotional engagement with data-driven storytelling, suggesting its potential as a powerful tool for communicating environmental issues and promoting ecological sustainability through the convergence of digital technology and artistic expression.

키워드

미디어아트; 멸종위기종 인식; 환경 지속 가능성; 검색어 API; 생성형 AI; Media art; Endangered Species Awareness; Environmental sustainability; Search term API; Generative AI
제목
환경 생태계 지속 가능성 문제 해결을 위한 AI 기반 미디어아트 창작 연구
제목 (타언어)
An AI-Based Media Art Creation Methodology for Addressing Environmental and Ecosystem Sustainability Challenges
저자
이정인; 임수연
DOI
10.17703/JCCT.2025.11.5.459
발행일
2025-09
유형
Y
저널명
문화기술의 융합
권
11
호
5
페이지
459 ~ 468