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the claim

AI image generators are trained on other artists' existing artwork.

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 AI image generators are trained on other artists' existing artwork?

Unclear. Two sources indicate AI image generators are trained on large web-scraped image collections that can include protected or existing content, but none specifically establishes that the training data consists of other artists' existing artwork.

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
Artists or art thieves? media use, media messages, and public opinion about artificial intelligence image generators
2024
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Brewer, P. R., Cuddy, L., Dawson, W., & Stise, R. (2024). Artists or art thieves? media use, media messages, and public opinion about artificial intelligence image generators. doi.org. https://doi.org/10.1007/s00146-023-01854-3

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More for · 2
Diffusions in Architecture: Artificial Intelligence and Image Generators
2024
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Campo, M. d. (2024). Diffusions in Architecture: Artificial Intelligence and Image Generators. books.google.com. http://books.google.com/books?id=H5zsEAAAQBAJ&dq=AI+image+generators+are+trained+on+other+artists%27+existing+artwork.&hl=&as_pt=BOOKS&source=gbs_api

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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