Unlocking Fair Use in the Generative AI Supply Chain: A Systematized Literature Review
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Abstract (arXiv)
Through a systematization of generative AI (GenAI) stakeholder goals and expectations, this work seeks to uncover what value different stakeholders see in their contributions to the GenAI supply line. This valuation enables us to understand whether fair use advocated by GenAI companies to train model progresses the copyright law objective of promoting science and arts. While assessing the validity and efficacy of the fair use argument, we uncover research gaps and potential avenues for future works for researchers and policymakers to address.
Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 9 of its 24 references that are in the map. First posted on arXiv 1 Aug 2024.
Builds on
9 of 24 references.
References · 9
- 2022Diffusion Art or Digital Forgery? Investigating Data Replication in Diffusion Modelscited by 418
- 2023Glaze: Protecting Artists from Style Mimicry by Text-to-Image Modelscited by 200
- 2023Talkin' 'Bout AI Generation: Copyright and the Generative-AI Supply Chaincited by 45
- 2023The Prompt Artistscited by 21
- 2023"An Adapt-or-Die Type of Situation": Perception, Adoption, and Use of Text-To-Image-Generation AI by Game Industry Professionalscited by 11
- 2023Understanding Visual Arts Experiences of Blind Peoplecited by 9
- 2021More Similar Values, More Trust? -- the Effect of Value Similarity on Trust in Human-Agent Interactioncited by 7
- 2023Addressing UX Practitioners' Challenges in Designing ML Applications: an Interactive Machine Learning Approachcited by 3
- 2021Machine Learning Application Development: Practitioners' Insightscited by 2
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