Analysis of Copyright Implementation in Getty Images and Stability AI as a Case Study of Generative AI

Al intelligence has introduced complex challenges to copyright law, as demonstrated by the high-profile dispute between Getty Images and Stability AI. Getty Images, a leading stock photography provider, alleges that Stability AI unlawfully used millions of its copyrighted images to train the Stable Diffusion model without authorization or compensation. This case has become a focal point in the debate over whether the use of copyrighted material for AI training constitutes fair use or infringement. The controversy also raises broader questions about derivative works, the appearance of watermarks in generated outputs, and the potential misuse of trademarks. From the perspective of creative industries, the case underscores the risk of uncompensated exploitation of intellectual property, while for technology developers it highlights the need for large datasets to sustain innovation. Different jurisdictions adopt contrasting approaches, with the United States relying on fair use analysis and the European Union emphasizing data mining exceptions and opt-out rights. The outcome of this case will shape the future balance between protecting creators and fostering technological progress, potentially leading to new licensing frameworks for AI training. Ultimately, this dispute illustrates the urgent need for legal adaptation in respon se to emerging generative technologies.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-09-18
DOI
https://doi.org/10.5281/zenodo.17149891
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
0.00
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article

Analysis of Copyright Implementation in Getty Images and Stability AI as a Case Study of Generative AI

Zenodo (CERN European Organization for Nuclear Research)
Geochemistry and Geologic Mapping
article

Analysis of Copyright Implementation in Getty Images and Stability AI as a Case Study of Generative AI

article en

Abstract

Al intelligence has introduced complex challenges to copyright law, as demonstrated by the high-profile dispute between Getty Images and Stability AI. Getty Images, a leading stock photography provider, alleges that Stability AI unlawfully used millions of its copyrighted images to train the Stable Diffusion model without authorization or compensation. This case has become a focal point in the debate over whether the use of copyrighted material for AI training constitutes fair use or infringement. The controversy also raises broader questions about derivative works, the appearance of watermarks in generated outputs, and the potential misuse of trademarks. From the perspective of creative industries, the case underscores the risk of uncompensated exploitation of intellectual property, while for technology developers it highlights the need for large datasets to sustain innovation. Different jurisdictions adopt contrasting approaches, with the United States relying on fair use analysis and the European Union emphasizing data mining exceptions and opt-out rights. The outcome of this case will shape the future balance between protecting creators and fostering technological progress, potentially leading to new licensing frameworks for AI training. Ultimately, this dispute illustrates the urgent need for legal adaptation in respon se to emerging generative technologies.

Zenodo (CERN European Organization for Nuclear Research)
Diponegoro University (ID)
Industry, innovation and infrastructure
Openalex Percentile: Top 35%
Geochemistry and Geologic Mapping
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Analysis of Copyright Implementation in Getty Images and Stability AI as a Case Study of Generative AI · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS