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the claim

Image generators such as Stable Diffusion were trained on billions of scraped images, including copyrighted artwork, without artists' permission.

the verdict
INSUFFICIENT LEANING
Recorded sources
3 sources for · 0 against

Counts group repeated records of the same source within each side. They do not measure evidence strength or source independence.

Is it true that image generators such as Stable Diffusion were trained on billions of scraped images, including copyrighted artwork, without artists' permission?

Unclear. Two sources partially support the claim: Wikipedia's Stable Diffusion article confirms training on the 5-billion-image LAION-5B web-scraped dataset, and a Wikipedia copyright article reports artists' allegation that AI tools were trained on five billion scraped images without consent. Neither independently establishes that copyrighted artwork specifically was used without artists' permission.

Verdict: PARTIAL LEAN · 3 sources for, 0 against · Last checked

The private library was unavailable for some searches in this check. Missing library results are not evidence against the claim.

Evidence for · 3
Stable Diffusion
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Stable Diffusion. (n.d.). en.wikipedia.org. https://en.wikipedia.org/wiki/Stable_Diffusion

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More for · 2
Artificial intelligence and copyright - Wikipedia
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Artificial intelligence and copyright - Wikipedia. (n.d.). en.wikipedia.org. https://en.wikipedia.org/wiki/Artificial_intelligence_and_copyright

Evaluation of Deep Image Generation Through the Lens of Privacy and Utility
2023
Get citation
Evaluation of Deep Image Generation Through the Lens of Privacy and Utility. (2023). theses.hal.science. https://doi.org/10.70675/51327419zb5cbz4c00zb7aez9165372626fc

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