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The Impact of Generative AI on the Intellectual Property Legal System and Its Challenge to Copyright Law

Marsh Ball Xiang Chen Steven Jian

Subject area: Science,Engineering and Technology  ·  Area of research: Generative AI

Abstract

Generative artificial intelligence (AI) presents new challenges to copyright law. Although the Interim Measures for the Management of Generative AI Services have established legal responsibility for service providers, uncertainties remain regarding copyright infringement risks throughout the AI lifecycle. In particular, the lifecycle stages of generative AI?from model training to optimization?pose potential risks for copyright infringement. This paper explores case studies such as the Andy Warhol Foundation v. Goldsmith decision and considers how "transformative use" may be a more suitable legal standard for AI's interaction with copyrighted works than the traditional "three-step test." A redefined standard of "transformative use" could support AI innovation while ensuring fair compensation to copyright holders.

Keywords

Generative AI, copyright law, fair use, intellectual property, Goldsmith case, transformative use, AI lifecycle, legal framework, three-step test, model training

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How to cite this paper

Marsh Ball, Xiang Chen, Steven Jian "The Impact of Generative AI on the Intellectual Property Legal System and Its Challenge to Copyright Law" Iconic Research And Engineering Journals Volume 7 Issue 9 2024 Page 318-326
Marsh Ball, Xiang Chen, Steven Jian "The Impact of Generative AI on the Intellectual Property Legal System and Its Challenge to Copyright Law" Iconic Research And Engineering Journals, vol. 7, no. 9, Mar. 2024
Marsh Ball, Xiang Chen, Steven Jian (2024). The Impact of Generative AI on the Intellectual Property Legal System and Its Challenge to Copyright Law. Iconic Research And Engineering Journals, 7(9).
Marsh Ball, Xiang Chen, Steven Jian "The Impact of Generative AI on the Intellectual Property Legal System and Its Challenge to Copyright Law" Iconic Research And Engineering Journals, vol. 7, no. 9, Mar. 2024.
@article{1705567,
      author = {Marsh Ball, Xiang Chen, Steven Jian},
      title = {The Impact of Generative AI on the Intellectual Property Legal System and Its Challenge to Copyright Law},
      journal = {Iconic Research And Engineering Journals},
      year = {2024},
      volume = {7},
      number = {9},
      pages = {318-326},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1705567.pdf},
      abstract = {Generative artificial intelligence (AI) presents new challenges to copyright law. Although the Interim Measures for the Management of Generative AI Services have established legal responsibility for service providers, uncertainties remain regarding copyright infringement risks throughout the AI lifecycle. In particular, the lifecycle stages of generative AI?from model training to optimization?pose potential risks for copyright infringement. This paper explores case studies such as the Andy Warhol Foundation v. Goldsmith decision and considers how "transformative use" may be a more suitable legal standard for AI's interaction with copyrighted works than the traditional "three-step test." A redefined standard of "transformative use" could support AI innovation while ensuring fair compensation to copyright holders.},
      keywords = {Generative AI, copyright law, fair use, intellectual property, Goldsmith case, transformative use, AI lifecycle, legal framework, three-step test, model training},
      month = {March},
  }