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clean up the legal ramifications section a little and add more environmental impact links
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README.md
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README.md
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@ -350,11 +350,15 @@ Legal, copyright and ethic problems arise especially with copyleft licenses such
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There are ongoing problems with AI "license-washing" in the FOSS world:
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* `chardet` --- switched from LGPL to MIT license without asking all
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contributors (which itself is a violation of GPL)
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* relicensed release: <https://github.com/chardet/chardet/releases/tag/7.0.0>
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* original author's concerns: <https://github.com/chardet/chardet/issues/327>
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* "consumer's" concerns: <https://github.com/chardet/chardet/issues/331>
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* `chardet` - switched from LGPL to MIT license without asking all contributors (which itself is a violation of GPL)
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* relicensed release: <https://github.com/chardet/chardet/releases/tag/7.0.0>
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* original author's concerns: <https://github.com/chardet/chardet/issues/327>
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* "consumer's" concerns: <https://github.com/chardet/chardet/issues/331>
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See also:
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* [copilot litigations](https://githubcopilotlitigation.com/), [IEEE article explaining how we go here](https://spectrum.ieee.org/ai-code-generation-ownership)
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* [broader lawsuits against AI companies tracker ](https://chatgptiseatingtheworld.com/2025/11/02/tracker-of-tort-lawsuits-v-ai-companies/)
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## Stolen Training Data
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@ -363,16 +367,14 @@ AI companies use data from across the web for training their models, most often
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* In 2023, [the Washington Post published a list of sources in Google's C4 data set](https://archive.ph/eehKq). A multitude of fediverse instances and personal sites were included. The fediverse is known for its userbase being major proponents of privacy and opt-in consent, making this especially jarring for those who have chosen to use decentralized social media for control over their data.
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* In 2025, [a similar leak of Meta's sources was published](https://archive.ph/NZlf3). Meta's list demonstrates how their integration of ActivityPub into their Threads software has enhanced their ability to mine content without authorization. Threads is widely blocked in some parts of the fediverse, but their scraping of server CDNs has allowed them to get around that. Notably, both the CDN domains of the managed hosting services masto.host and fedi.monster are included in the list; large servers like mastodon.art, which is hosted by the former and has many artists who've left sites like DeviantArt and others due to their AI scraping of user content, had [media unknowingly scraped](https://mastodon.art/@Curator/115022115346692178).
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FOSS projects listed in this repo are using tooling that blatantly disregards licensing and violates even the most basic of Code of Conducts, making said tools antithetical to FOSS' purpose.
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See also:
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* [copilot litigations](https://githubcopilotlitigation.com/), [IEEE article explaining how we go here](https://spectrum.ieee.org/ai-code-generation-ownership)
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* [broader lawsuits against AI companies tracker ](https://chatgptiseatingtheworld.com/2025/11/02/tracker-of-tort-lawsuits-v-ai-companies/)
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FOSS projects listed in this repo are using tooling that blatantly disregard licensing and violate of Codes of Conduct, making said tools antithetical to FOSS' purpose.
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## Environmental Impact
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To start learning a bit more, you can checkout the wikipedia page on [Environmental impact of artificial intelligence](https://en.wikipedia.org/wiki/Environmental_impact_of_artificial_intelligence#Individual_level). We're very open to people contributing other explanations, links, and resources to learn more about this.
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To start learning a bit more, you can checkout the wikipedia page on [Environmental impact of artificial intelligence](https://en.wikipedia.org/wiki/Environmental_impact_of_artificial_intelligence#Individual_level). We're very open to people contributing other explanations, links, and resources to learn more about this. Here's what we've gathered so far:
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- [MIT News: Generative AI’s environmental impact](https://news.mit.edu/2025/explained-generative-ai-environmental-impact-0117)
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- [MIT Technology Review: We did the math on AI’s energy footprint. Here’s the story you haven’t heard.](https://www.technologyreview.com/2025/05/20/1116327/ai-energy-usage-climate-footprint-big-tech/)
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## Poor Code Quality
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