A Study on Copyright and Plagiarism Issues in LLM-Generated Content

This study conducts a multifaceted examination of copyright and plagiarism issues related to content generated by large language model(LLM). The emergence of LLM, which emulate human creativity, has brought a paradigm shift in content creation. However, it also raises a range of legal and ethical concerns, including the ownership of generated works, potential copyright infringement of training data, and the possibility of plagiarism in generated outputs. This paper analyzes the structural nature of these issues across various content types including music, visual art, fiction, and academic writing and provides a comprehensive discussion on service providers' responsibilities, legal disputes, the limitations of detection technologies, and educational responses. Finally, the paper proposes legal, technological, and ethical solutions, emphasizing the need for a new regulatory framework tailored to LLM-generated content.