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Don't Trust the Label: License Laundering in AI Supply Chains

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Don't Trust the Label: License Laundering in AI Supply Chains
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Computer Science > Software Engineering arXiv:2607.20300 (cs) [Submitted on 22 Jul 2026] Title:Don't Trust the Label: License Laundering in AI Supply Chains Authors:James Jewitt, Hao Li, Gopi Krishnan Rajbahadur, Bram Adams, Ahmed E. Hassan View a PDF of the paper titled Don't Trust the Label: License Laundering in AI Supply Chains, by James Jewitt and 4 other authors View PDF HTML (experimental) Abstract:AI artifacts move through a multi-platform supply chain, spanning datasets and models on Hugging Face and applications on GitHub. While each artifact carries a license whose obligations should propagate through redistribution, no study has yet measured whether those obligations survive the chain or are stripped and replaced as artifacts move downstream.

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Computer Science > Software Engineering arXiv:2607.20300 (cs) [Submitted on 22 Jul 2026] Title:Don't Trust the Label: License Laundering in AI Supply Chains Authors:James Jewitt, Hao Li, Gopi Krishnan Rajbahadur, Bram Adams, Ahmed E. Hassan View a PDF of the paper titled Don't Trust the Label: License Laundering in AI Supply Chains, by James Jewitt and 4 other authors View PDF HTML (experimental) Abstract:AI artifacts move through a multi-platform supply chain, spanning datasets and models on Hugging Face and applications on GitHub. While each artifact carries a license whose obligations should propagate through redistribution, no study has yet measured whether those obligations survive the chain or are stripped and replaced as artifacts move downstream.

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