Difference between revisions of "User:Becha/AI is ecocide"
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==References== | ==References== | ||
| − | # | + | # “Computing as Ecocide”, by Rob Comber and Elina Eriksson: https://limits.pubpub.org/pub/a8h46wqy/release/1 |
| − | # | + | # “The Climate Cost of the AI”, by Wim Vanderbauwhede https://labs.ripe.net/author/wim-vanderbauwhede/the-climate-cost-of-the-ai-revolution/ |
| − | # | + | # “AI’s biggest risk is the corporations that control them”, by Meredith Whittaker: https://www.fastcompany.com/90892235/researcher-meredith-whittaker-says-ais-biggest-risk-isnt-consciousness-its-the-corporations-that-control-them |
| − | # | + | # “Will AI become >capital’s willing executioners<“, by Ted Chiang: https://www.newyorker.com/science/annals-of-artificial-intelligence/will-ai-become-the-new-mckinsey |
| − | # | + | # “Political Demands”, by “Bits & Bäume 2022” https://bits-und-baeume.org/assets/images/pdfs/Bits_und_Baeume_Political_Demands_english.pdf |
| − | # | + | # “A just world on a safe planet: quantifying Earth System Boundaries”, by Johan Rockström, Joyeeta Gupta, et.al https://www.pik-potsdam.de/en/news/latest-news/a-just-world-on-a-safe-planet-first-study-quantifying-earth-system-boundaries |
| − | # | + | # “Environmental Impact of Internet: Urgency, De-Growth, Rebellion”, by Vesna Manojlovic https://labs.ripe.net/author/becha/environmental-impact-of-internet-urgency-de-growth-rebellion/ |
==Links== | ==Links== | ||
Revision as of 19:02, 8 November 2023
Contents
July 2023
- Vesna Manojlovic, July 2023
- BECHA@unciv.nl, https://becha.unciv.nl
Artificial Intelligence is Ecocide
AI’s detrimental impact towards reaching global climate targets is ecocide.(1) The damage is severe, wanton, environmental. If not halted, it will be widespread and long-term.
As part of capitalist technological systems, AI is soaking up fossil fuels, water, rare metals, land, while externalising pollution. (2)
Socio-political harm caused by AI comes from the centralisation of power and wealth in the hands of a few corporations, (3) usage of amassed data for surveillance and disinformation, exploitation (4) of human labour for short-term profit.
Say NO to AI
Countering “AI-as-ecocide” requires intervention and healing on all levels: international legislative, collective-organisational, civil disobedience, community efforts, personal education.
Digitalisation must respect planetary boundaries. (5) We must refuse the production and operation of more digital devices, networking infrastructures, data centres. Energy and material consumption must be reduced. Extractivism, growth-oriented business models coupled with inequality must be replaced by economic policies that justly redistribute the benefits of technology (DeGrowth, eco-feminism, decolonizing, caring economies). Technical innovation must focus on repairing harm through the ethics of reciprocity and regeneration.
If we want justice and safety (6) within planetary limits, we can have no anthropocentric, hierarchical, individualistic AI.
Alternatives to Artificial “Intelligence”
Let us embrace wider consciousnesses. Empathic! Relational! Artistic! Emotional! Lateral! Through ecophilia and biophilia, let us extend love beyond our species. Let us acknowledge collective intelligence: swarms, reefs, hives; ecosystems like forests, rivers, deserts; creatures such as octopi, mycelia, squirrels (7).
I mourn our ongoing extinction, and I am hoping for (re)connection, reciprocity, thriving together in a distant future.
References
- “Computing as Ecocide”, by Rob Comber and Elina Eriksson: https://limits.pubpub.org/pub/a8h46wqy/release/1
- “The Climate Cost of the AI”, by Wim Vanderbauwhede https://labs.ripe.net/author/wim-vanderbauwhede/the-climate-cost-of-the-ai-revolution/
- “AI’s biggest risk is the corporations that control them”, by Meredith Whittaker: https://www.fastcompany.com/90892235/researcher-meredith-whittaker-says-ais-biggest-risk-isnt-consciousness-its-the-corporations-that-control-them
- “Will AI become >capital’s willing executioners<“, by Ted Chiang: https://www.newyorker.com/science/annals-of-artificial-intelligence/will-ai-become-the-new-mckinsey
- “Political Demands”, by “Bits & Bäume 2022” https://bits-und-baeume.org/assets/images/pdfs/Bits_und_Baeume_Political_Demands_english.pdf
- “A just world on a safe planet: quantifying Earth System Boundaries”, by Johan Rockström, Joyeeta Gupta, et.al https://www.pik-potsdam.de/en/news/latest-news/a-just-world-on-a-safe-planet-first-study-quantifying-earth-system-boundaries
- “Environmental Impact of Internet: Urgency, De-Growth, Rebellion”, by Vesna Manojlovic https://labs.ripe.net/author/becha/environmental-impact-of-internet-urgency-de-growth-rebellion/
Links
- UnCiv mailing list archive : https://lists.puscii.nl/wws/arc/uncivilization/2023-10/msg00000.html
- check out the community discussion in the thread!
- My slides from TBD hackers camp: https://wiki.techinc.nl/File:TBD_2023_Not_a_Camp_ecocide_SMALL.pdf
AI Links
- YouTube playlist https://www.youtube.com/playlist?list=PLVR6MM6mHmBRtvYlP_bF6qTP3YomEwGqE
- with 10 interviews developing an AI critique over the past two years, which I made for Training the Archive. The interviewees include Maya Indira Ganesh, Anna Ridler, Alexa Steinbrück, Mar Hicks, Gabriel Pereira, Elisa Giardina Papa, Matteo Pasquinelli, Nick Couldry and Ulisses Mejias, Adam Harvey, and Magda Tyzlik-Carver.
Articles
- Sanela Jahić – Under the Calculative Gaze: https://aksioma.org/under-the-calculative-gaze-book
“AI completes the enclosure that the autonomists called the social factory, where capitalist relations of power extend to the smallest corner of social reproduction. But the very generalisability of these algorithmic exploitations creates the ground for a recomposition of resistance from forms of relationality that still escape the algorithmic gaze.” ― Dan McQuillan
- “Ethical AI Requires Institutional and Structural Change”, Timnit Gebru https://hai.stanford.edu/news/timnit-gebru-ethical-ai-requires-institutional-and-structural-change
- Shut it all down: https://time.com/6266923/ai-eliezer-yudkowsky-open-letter-not-enough/
- “Chatbot is not a human”, by Emily M. Bender: https://nymag.com/intelligencer/article/ai-artificial-intelligence-chatbots-emily-m-bender.html
- “Change happens through collective action”, by Timnit Gebru:
- ‘Any Sufficiently Advanced Neglect is Indistinguishable from Malice' https://afutureworththinkingabout.com/?p=5442
- philosopher Émile Torres and Dr. Gebru who together coined the TESCREAL acronym “which stands for a world view of Transhumanism, Extropianism, Singularitarianism, Cosmism, Rationalism, Effective Altruism, and Longtermism.”
alarmist fears / doomerism / rooted in a hierarchical , anthropocentric and zero-sum view of intelligence
- Is Fear of AI Really Fear of Capitalism? Ezra Klein https://portside.org/2023-02-27/fear-ai-really-fear-capitalism
- "Kunstmatige intelligentie vreet stroom" (AI is devouring electricity) https://nos.nl/l/2477186
- “ChatGPT Is Consuming a Staggering Amount of Water” One argument for your proposal for the talk/BoF about challenges of AI: https://futurism.com/the-byte/chatgpt-ai-water-consumption
- More on AI: Stochastic Parrots Day: A Retrospective With 'Stochastic Parrots' Authors - DAIR-Tube
https://peertube.dair-institute.org/video-playlists/230fd526-231f-49b5-b9de-e4b04fa6f946
- General Purpose AI Poses Serious Risks, Should Not Be Excluded From the EU's AI Act | Policy Brief - AI Now Institute https://ainowinstitute.org/publication/gpai-is-high-risk-should-not-be-excluded-from-eu-ai-act
- The Acronym Behind Our Wildest AI Dreams and Nightmares: https://www.truthdig.com/articles/the-acronym-behind-our-wildest-ai-dreams-and-nightmares/
- Longtermism and Eugenics: A Primer, by Émile Torres : https://www.truthdig.com/articles/longtermism-and-eugenics-a-primer/
- The Wide Angle: Understanding TESCREAL — the Weird Ideologies Behind Silicon Valley’s Rightward Turn, by Dave Troy
https://washingtonspectator.org/understanding-tescreal-silicon-valleys-rightward-turn/
* https://anatomyof.ai
- _AI_Now_Institute_2017_Report_ https://ainowinstitute.org/publication/ai-now-2017-report-2
- #EDRi20 - 10 Apr 2023 - keynote by Meredith Whittaker, Signal Foundation https://www.youtube.com/watch?v=yBQ_2AqI7w0 : on the ramifications of the surveillance business model of AI.
- patriarchal perspective and AI : https://osf.io/preprints/socarxiv/jqxb6/ & https://www.researchgate.net/publication/370049262_Pygmalion_Displacement_When_Humanising_AI_Dehumanises_Women
- Upholding human rights in AI https://ecnl.org/news/council-europe-must-not-water-down-their-human-rights-standards-convention-ai
- “Meet the Future of AI: Countering Sophisticated & Advanced Disinformation” https://www.veraai.eu/posts/meet-the-future-of-ai-report
- A Degrowth Perspective on Artificial Intelligence - Analysing the Appropriateness of Machine Learning to a Degrowth Context https://www.research-collection.ethz.ch/handle/20.500.11850/622669
AI Pappers
- On the Dangers of Stochastic Parrots: Can Language Models Be Too Big? (Bender, Gebru, McMillan-Major, Schmitchell) https://dl.acm.org/doi/10.1145/3442188.3445922
- Mitigating System Bias: by Emily M. Bender & Batya Friedman https://aclanthology.org/Q18-1041.pdf
- The growing energy footprint of artificial intelligence, Alex de Vries https://www.cell.com/joule/fulltext/S2542-4351(23)00365-3 // Published:October 10, 2023 DOI:https://doi.org/10.1016/j.joule.2023.09.004
- The AI footprint (OECD) : Measuring the environmental impacts of artificial intelligence compute and applications
- "Artificial intelligence (AI) systems can use massive computational resources, raising sustainability concerns. This report aims to improve understanding of the environmental impacts of AI, and help measure and decrease AI’s negative effects while enabling it to accelerate action for the good of the planet. It distinguishes between the direct environmental impacts of developing, using and disposing of AI systems and related equipment, and the indirect costs and benefits of using AI applications. It recommends the establishment of measurement standards, expanding data collection, identifying AI-specific impacts, looking beyond operational energy use and emissions, and improving transparency and equity to help policy makers make AI part of the solution to sustainability challenges." Published on November 15, 2022
- https://www.oecd.org/publications/measuring-the-environmental-impacts-of-artificial-intelligence-compute-and-applications-7babf571-en.htm
- “Environmental media” in the cloud: The making of critical data center art https://journals.sagepub.com/doi/10.1177/14614448221149942
- Data Centers -> https://wiki.techinc.nl/Sustainability#Data_Centers
- "Ubuntu as an Ethical & Human Rights Framework for AI Governance” by Sabelo Mhlambi, July 8, 2020 https://carrcenter.hks.harvard.edu/files/cchr/files/ccdp_2020-009_sabelo_b.pdf
