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Merge pull request 'Section for AI ties to war industry and policing' (#185) from war-section into main
Reviewed-on: https://codeberg.org/small-hack/open-slopware/pulls/185 Reviewed-by: Max <cloudymax@noreply.codeberg.org>
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README.md
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README.md
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@ -64,7 +64,9 @@ To Contribute, checkout our [`CONTRIBUTING.md`](./CONTRIBUTING.md).
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* [Poor Code Quality](#poor-code-quality)
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* [Infosec risks](#infosec-risks)
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* [Healthy and Safety](#healthy-and-safety)
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* [Maintainer Fatigue](#maintainer-fatigue)
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* [Maintainer Fatigue](#maintainer-fatigue)
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* [Ties to the War Industrial Complex](#ties-to-the-war-industrial-complex)
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* [Effects on Policing](#effects-on-policing)
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* [Deskilling](#deskilling)
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* [Effect on Hardware Prices](#effect-on-hardware-prices)
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* [License](#license)
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@ -522,7 +524,43 @@ There's been a number of high profile incidents that have resulted in endangerme
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[LLM use has also been linked to new-onset psychosis](https://pmc.ncbi.nlm.nih.gov/articles/PMC12863933/).
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## Maintainer Fatigue
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### Ties to the War Industrial Complex
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A lot of AI companies also work directly with nation states for use in their Departments of War (sometimes called Defense) which in turn leads to futher AI usage during war and invasions. This is coupled with [NYT: Palantir, Anthropic and small start-ups are generating rewards from their investments in defense tech](https://www.nytimes.com/2026/03/18/technology/silicon-valley-war-defense-tech.html).
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As another example [NPR: OpenAI announced Pentagon deal after Trump banned Anthropic](https://www.npr.org/2026/02/27/nx-s1-5729118/trump-anthropic-pentagon-openai-ai-weapons-ban) which was due to the USA Department of War [launching an AI acceleration strategy](https://web.archive.org/web/20260113071131/https://www.war.gov/News/Releases/Release/Article/4376420/war-department-launches-ai-acceleration-strategy-to-secure-american-military-ai/).
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Due to the nature of LLMs being only kind of as good as the data they are trained on, this can lead to additional civilian deaths and housing/infrastructure damage either intensionally or not. Examples:
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<details>
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<summary>Content Warning: War details, death</summary>
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- [Gaza: UN experts deplore use of purported AI to commit ‘domicide’ in Gaza, call for reparative approach to rebuilding](https://www.ohchr.org/en/press-releases/2024/04/gaza-un-experts-deplore-use-purported-ai-commit-domicide-gaza-call)
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- [Lavender & Where’s Daddy: How Israel Used AI to Form Kill Lists & Bomb Palestinians in Their Homes](https://www.democracynow.org/2024/4/5/israel_ai)
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- [Microsoft says it provided AI to Israeli military for war](https://apnews.com/article/microsoft-israel-military-gaza-hamas-artificial-intelligence-20b2adb438b39ee9cb6eb2f52c1ae44a)
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- [Google has dropped its promise not to use AI for weapons](https://theconversation.com/google-has-dropped-its-promise-not-to-use-ai-for-weapons-its-part-of-a-troubling-trend-249169)
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</details>
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All of this to remind you that if you use AI, you're helping to support these companies and the additional activities they participate in, outside of generative code or images.
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### Effects on Policing
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Police have quickly embraced AI, which has already directly led to people being jailed for things they've never done. As examples:
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- [This Grandmother was jailed for 6 months after an AI error linked her to a crime in a state she had never even visited](https://www.the-independent.com/news/world/americas/crime/tennessee-grandmother-ai-arrest-error-north-dakota-b2938261.html)
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- [How Wrongful Arrests Based on AI Derailed 3 Men's Lives](https://web.archive.org/web/20260111202754/https://www.wired.com/story/wrongful-arrests-ai-derailed-3-mens-lives/)
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This is, in part, due to companies such as Amazon [Aggressively pushing police to use AI](https://web.archive.org/web/20260116082026/https://www.forbes.com/sites/thomasbrewster/2025/10/01/inside-amazons-aggressive-push-to-get-cops-using-ai-surveillance/) which they do through both facial recognition and offering compute for predictive policing. With regards to facial recognition, here's an example of how it too can lead to false arrests: [Face Recognition on Flawed Data](https://www.flawedfacedata.com/#art-or-science).
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There have been warnings about AI in policing, particularly around racial bias, such as:
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- [Bennan Center of Justice: The Dangers of Unregulated AI in Policing](https://www.brennancenter.org/our-work/research-reports/dangers-unregulated-ai-policing)
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- [OxJournal: Predictive Policing or Predictive Prejudice? A Study of the Legal, Historical and Ethical Implications of AI in Policing](https://www.oxjournal.org/predictive-policing-or-predictive-prejudice/)
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- [The Gaurdian: Police AI Chief admits crime fighting tech will have bias...](https://web.archive.org/web/20260224070735/https://www.theguardian.com/technology/2026/feb/24/police-ai-chief-admits-crime-fighting-tech-will-have-bias-but-vows-to-tackle-it)
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- [A third of all Black children were flagged by a child services agency](https://loganstapleton.com/wp-content/uploads/2022/04/Extended_Analysis__How_Child_Welfare_Workers_Reduced_Racial_Disparities_in_Algorithmic_Decisions.pdf)
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### Maintainer Fatigue
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Having to deal with the onslaught of many LLM written pull requests and issues, causes real maintainer burnout that stagnates projects as maintainers become overwhelmed with half baked, poorly written, insecure code. Here's some examples:
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@ -554,7 +592,6 @@ The down-stream effects for consumers is that near all electronic devices which
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- [The 2026 storage crisis: Why AI data centers are hoarding every hard drive on the market](https://www.howtogeek.com/dont-count-on-hdds-to-save-you-from-rising-storage-costs/)
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# License
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This repository is licensed under the Creative Commons Attribution Share Alike 4.0 International license. Please see [LICENSE.txt](LICENSE.txt) for more information.
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