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    생성형 AI를 활용한 청소년 노래 만들기 활동을 통해 생성될 창작물의 저작권 귀속 가능성 연구 = A Study on Copyright Attribution of Creative Works Generated through Youth Songwriting Activities Utilizing Generative AI

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    https://www.riss.kr/link?id=A110181982

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    This study explores the possibility of copyright attribution for creative works generated through youth songwriting activities utilizing generative artificial intelligence (Generative AI) and proposes directions for copyright protection and legal improvement. The development of generative AI enables adolescents without musical expertise to join creative activities, while songwriting serves as an art-based educational and welfare medium promoting emotional and social development. However, as AI intervenes in the process, criteria for determining authorship based on adolescents’ creative contributions remain ambiguous. Using White and Marsh’s (2006) qualitative content analysis, this study analyzed prior research and reconstructed major issues through legal interpretation. Findings indicate that human creative involvement is essential for AI-generated works to qualify as copyrightable. In welfare and educational contexts, when adolescents lead the creative process, separate standards for copyright protection are required. This study integrates legal perspectives to lay a foundation for safeguarding adolescents’ creative rights in the era of artificial intelligence.
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    This study explores the possibility of copyright attribution for creative works generated through youth songwriting activities utilizing generative artificial intelligence (Generative AI) and proposes directions for copyright protection and legal impr...

    This study explores the possibility of copyright attribution for creative works generated through youth songwriting activities utilizing generative artificial intelligence (Generative AI) and proposes directions for copyright protection and legal improvement. The development of generative AI enables adolescents without musical expertise to join creative activities, while songwriting serves as an art-based educational and welfare medium promoting emotional and social development. However, as AI intervenes in the process, criteria for determining authorship based on adolescents’ creative contributions remain ambiguous. Using White and Marsh’s (2006) qualitative content analysis, this study analyzed prior research and reconstructed major issues through legal interpretation. Findings indicate that human creative involvement is essential for AI-generated works to qualify as copyrightable. In welfare and educational contexts, when adolescents lead the creative process, separate standards for copyright protection are required. This study integrates legal perspectives to lay a foundation for safeguarding adolescents’ creative rights in the era of artificial intelligence.

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