생성형 AI 저작권 침해사례 분석 및 고찰

Analysis and Review of Copyright Infringement and Evasion Cases in Generative AI
  • 김정길
  • 이은서
  • 정원준
  • 김영모

초록

This paper examines the intersection of generative AI technology and copyright law, focusing on the legal challenges posed by AI's ability to create content based on large datasets. As AI systems like Stable Diffusion, GPT models, and GitHub Copilot utilize copyrighted materials for training, significant legal disputes have arisen, including cases filed by Getty Images, OpenAI, and Microsoft. These cases highlight the need for updated legal frameworks to address copyright issues related to AI. The paper proposes solutions such as enhancing dataset transparency, clarifying legal responsibilities for AI-generated content, evolving copyright laws, revisiting fair use principles, and promoting collaboration between AI developers and creators. These measures aim to ensure a balance between technological innovation and intellectual property protection.

키워드

Generative AICopyrightLegal DisputesFair UseIntellectual PropertyDataset Transparency
제목
생성형 AI 저작권 침해사례 분석 및 고찰
제목 (타언어)
Analysis and Review of Copyright Infringement and Evasion Cases in Generative AI
저자
김정길이은서정원준김영모
발행일
2024-12
저널명
반도체디스플레이기술학회지
23
4
페이지
12 ~ 16