Skip to content
Snippets Groups Projects
Commit 2025caad authored by colmoneill's avatar colmoneill
Browse files

bits of text for the permacomputing section of the WILDERLAND website, plus...

bits of text for the permacomputing section of the WILDERLAND website, plus the documents for the ECCESS submission
parent aa3d46e6
No related branches found
No related tags found
No related merge requests found
Pipeline #1657380513 passed
Against AI and Its Environmental Harms
This is an etherpad service hosted by Riseup. Riseup provides secure online communication tools for people and groups working for liberatory social change. Charles Logan, a PhD candidate in learning sciences at Northwestern University, curates this open library of work related to AI and its impacts on the environment. The library is organized into three sections: 1) Journalism; 2) Peer-Reviewed Articles and Books; and 3) Other Media: Podcasts, Blog Posts, Panel Discussions, etc. Please add resources and share widely.
Journalism
"Exxon’s CEO touted this ‘huge advantage’ in building power plants for AI data centers" by Jason Ma. February 1, 2025. Fortune. https://fortune.com/2025/02/01/exxon-ceo-darren-woods-decarbonized-power-plants-ai-data-centers-chevron-ceo-mike-wirth/
"We aren't being told the real extent of AI data center emissions" by Frank Landymore. January 26, 2025. Futurism. https://futurism.com/the-byte/not-being-told-datacenter-emissions
"As California AI Data Centers Grow, So Does Dirty Energy" by Aaron Cantú. January 21, 2025. Capital and Main. https://capitalandmain.com/as-california-ai-data-centers-grow-so-does-dirty-energy
"Alberta First Nation voices 'grave concern' over Kevin O'Leary's proposed $70B AI data centre" by Emilie Rubayita. January 16, 2025. CBC. https://www.cbc.ca/news/canada/edmonton/alberta-first-nation-voices-grave-concern-over-kevin-o-leary-s-proposed-70b-ai-data-centre-1.7431550
"Water shortage fears as Labour’s first AI growth zone sited close to new reservoir" by Helena Horton. January 13, 2025. The Guardian. https://www.theguardian.com/technology/2025/jan/13/labour-ai-datacentre-growth-zone-water-shortages-abingdon-reservoir
"Indiana data center could soon be powered by coal" by Sean Wolfe. January 8, 2025. Power Engineering. https://www.power-eng.com/coal/indiana-data-center-could-soon-be-powered-by-coal/
"Air pollution from AI could surpass that of all the cars in California" by Eve Upton-Clark. December 27, 2024. Fast Company. https://www.fastcompany.com/91253026/air-pollution-from-ai-could-surpass-that-of-all-the-cars-in-california
"Gas Exports and AI Boom Poised to Spike Energy Prices for Consumers Under Trump" by Mike Ludwig. December 27, 2024. Truthout. https://truthout.org/articles/gas-exports-and-ai-boom-poised-to-spike-energy-prices-for-consumers-under-trump/
"In the shadows of Arizona’s data center boom, thousands live without power" by Pranshu Verma. December 23, 2024. Washington Post. https://www.washingtonpost.com/technology/2024/12/23/arizona-data-centers-navajo-power-aps-srp/
"AI poses threat to North American electricity grid, watchdog warns" by Myles McCormick. December 19, 2024. The Financial Times. https://archive.is/vuqMt#selection-1995.0-1997.0
"What If Tech Execs Don’t Really Need All These Data Centers?" by Katie Aronoff. December 17, 2024. The New Republic. https://newrepublic.com/article/189460/ai-data-centers-coal-fossil-fuels-energy
"Big Oil wants to help Big Tech power artificial intelligence data centers" by Spencer Kimball. December 14, 2024. CNBC. https://www.cnbc.com/2024/12/14/big-oil-wants-to-help-big-tech-power-artificial-intelligence-data-centers.html
"AI's $20 billion air pollution problem" by Dakin Campbell and Hannah Beckler. December 9, 2024. Business Insider. Paywall-free version: https://archive.ph/LXxo7#selection-1475.0-1475.38
"How AI is Guzzling Up the Water Supply." December 6, 2024. Proof News. https://www.youtube.com/watch?v=s67L2otHw0I
"How AI Is Killing Climate Goals." December 5, 2024. Proof News. https://www.youtube.com/watch?v=yekAtc4eT78
"How AI Is Hogging the Electric Grid." December 4, 2024. Proof News. https://www.youtube.com/watch?v=jFd0QUOUFUg
"Why We Don’t Know AI's True Water Footprint" by Miranda Gabbott. November 26, 2024. Tech Policy Press. https://www.techpolicy.press/why-we-dont-know-ais-true-water-footprint/
"Data centers powering artificial intelligence could use more electricity than entire cities" by Spencer Kimball. November 23, 2024. CNBC. https://www.cnbc.com/2024/11/23/data-centers-powering-ai-could-use-more-electricity-than-entire-cities.html
"Regional power authority approves request for Musk's Memphis AI supercomputer project" by Dara Kerr. November 15, 2024. NPR. https://www.npr.org/2024/11/15/nx-s1-5188481/regional-power-authority-approves-request-for-musks-memphis-ai-supercomputer-project
"Generative AI Is Poised to Worsen the E-Waste Crisis" by Saima S. Iqbal. November 14, 2024. Scientific American. https://www.scientificamerican.com/article/generative-ai-could-generate-millions-more-tons-of-e-waste-by-2030/
"As data centers for AI strain the power grid, bills rise for everyday customers" by Evan Halper Caroline O'Donovan. November 1, 2024. Washington Post. https://www.washingtonpost.com/business/2024/11/01/ai-data-centers-electricity-bills-google-amazon/
"Why a Memphis Community Is Fighting Elon Musk’s Supercomputer" by Ivan Penn and Kate Conger. October 31, 2024. New York Times. https://www.nytimes.com/2024/10/31/business/energy-environment/elon-musk-ai-memphis-pollution.html
"AI will add to the e-waste problem. Here’s what we can do about it." by Casey Crownhart. October 28, 2024. MIT Technology Review. https://www.technologyreview.com/2024/10/28/1106316/ai-e-waste/
"A utility promised to stop burning coal. Then Google and Meta came to town." by Evan Halper. October 12, 2024. Washington Post. https://www.washingtonpost.com/business/2024/10/08/google-meta-omaha-data-centers/
"Fighting back data centers, one small town at a time" by Caroline O'Donovan. October 5, 2024. Washington Post. https://www.washingtonpost.com/technology/2024/10/05/data-center-protest-community-resistance/
"‘Thirsty’ ChatGPT uses four times more water than previously thought" by Mark Sellman and Adam Vaughan. October 4, 2024. The Times. https://www.thetimes.com/uk/technology-uk/article/thirsty-chatgpt-uses-four-times-more-water-than-previously-thought-bc0pqswdr
"‘Three New York Cities’ Worth of Power: AI Is Stressing the Grid" by Jennifer Hiller. September 28, 2024. Wall Street Journal. https://www.wsj.com/business/energy-oil/ai-data-center-boom-spurs-race-to-find-power-87cf39dd
"Three Mile Island nuclear plant will reopen to power Microsoft data centers" by C Mandler. September 20, 2024. NPR. https://www.npr.org/2024/09/20/nx-s1-5120581/three-mile-island-nuclear-power-plant-microsoft-ai
"A bottle of water per email: the hidden environmental costs of using AI chatbots" by
Pranshu Verma and Shelly Tan. September 18, 2024. Washington Post. https://www.washingtonpost.com/technology/2024/09/18/energy-ai-use-ele'ctricity-water-data-centers/
"AI Boom Is Driving a Surprise Resurgence of US Gas-Fired Power" by Josh Saul, Naureen S Malik, and Mark Chediak. September 16, 2024. Bloomberg. https://www.bloomberg.com/news/articles/2024-09-16/us-natural-gas-power-plants-just-keep-coming-to-meet-ai-ev-electricity-demand
"Data center emissions probably 662% higher than big tech claims. Can it keep up the ruse?" by Isabel O'Brien. September 15, 2024. The Guardian. https://www.theguardian.com/technology/2024/sep/15/data-center-gas-emissions-tech
"Microsoft's Hypocrisy of AI" by Karen Hao. September 13, 2024. The Atlantic. https://www.theatlantic.com/technology/archive/2024/09/microsoft-ai-oil-contracts/679804/?gift=lhL3dXSYCcu9vqTqEbg0OHfJiu_TRdq079IHN4QaSAE
"How Memphis became a battleground over Elon Musk’s xAI supercomputer" by Dara Kerr. September 11, 2024. NPR. https://www.npr.org/2024/09/11/nx-s1-5088134/elon-musk-ai-xai-supercomputer-memphis-pollution
"Forget jobs. AI is coming for your water" by Fintan McDonnell and Diana Baptista. September 5, 2024. Context. https://www.context.news/ai/video/forget-jobs-ai-is-coming-for-your-water
"How much is AI hurting the planet? Big tech won't tell us." by Chris Taylor. September 3, 2024. Mashable. https://mashable.com/article/ai-environment-energy
"Big Tech Companies Are Obscuring AI’s Real Carbon Footprint" by Akshat Rathi and Natasha White. August 21, 2024. Bloomberg. https://news.bloombergtax.com/financial-accounting/big-tech-companies-are-obscuring-ais-real-carbon-footprint
"Microsoft is building a data center in a tiny Indian village. Locals allege it's dumping industrial waste" by Almaas Masood and Ananya Bhattacharya. August 20, 2024. Rest of World. https://restofworld.org/2024/microsoft-data-center-india-mekaguda-industrial-waste/
"Power-hungry AI data centers are raising electric bills and blackout risk" by Melody Petersen. August 12, 2024. LA Times. https://www.latimes.com/environment/story/2024-08-12/california-data-centers-could-derail-clean-energy-goals
"Anger mounts over environmental cost of Google datacentre in Uruguay" by Grace Livingstone. August 1, 2024. The Guardian. https://www.theguardian.com/global-development/article/2024/aug/01/uruguay-anger-environmental-cost-google-datacentre-carbon-emissions-toxic-waste-water
"How The Massive Power Draw Of Generative AI Is Overtaxing Our Grid." July 28, 2024. CNBC. https://www.youtube.com/watch?v=MJQIQJYxey4
"Ireland’s datacentres overtake electricity use of all urban homes combined" by Jillian Ambrose. July 23, 2024. The Guardian. https://www.theguardian.com/world/article/2024/jul/23/ireland-datacentres-overtake-electricity-use-of-all-homes-combined-figures-show
"AI brings soaring emissions for Google and Microsoft, a major contributor to climate change" by Dara Kerr. July 12, 2024. NPR. https://www.npr.org/2024/07/12/g-s1-9545/ai-brings-soaring-emissions-for-google-and-microsoft-a-major-contributor-to-climate-change
"AI's Energy Demands Are Out of Control. Welcome to the Internet's Hyper-Consumption Era" by Reece Rogers. July 11, 2024. Wired. https://www.wired.com/story/ai-energy-demands-water-impact-internet-hyper-consumption-era/
"Artificial intelligence's thirst for electricity" by Dara Kerr. July 10, 2024. NPR. https://www.npr.org/2024/07/10/nx-s1-5028558/artificial-intelligences-thirst-for-electricity
"Google’s emissions climb nearly 50% in five years due to AI energy demand" by Dan Milmo. July 2, 2024. The Guardian. https://www.theguardian.com/technology/article/2024/jul/02/google-ai-emissions
"Google’s Emissions Shot Up 48% Over Five Years Due to AI" by Rachel Metz. July 2, 2024. Bloomberg. https://www.bloomberg.com/news/articles/2024-07-02/google-s-emissions-shot-up-48-over-five-years-due-to-ai?accessToken=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzb3VyY2UiOiJTdWJzY3JpYmVyR2lmdGVkQXJ0aWNsZSIsImlhdCI6MTcxOTk1NTI2NSwiZXhwIjoxNzIwNTYwMDY1LCJhcnRpY2xlSWQiOiJTRzBMRFFUMEFGQjQwMCIsImJjb25uZWN0SWQiOiIyMjNDRDM2NDg0QzY0OTc3QjY5ODE0Rjc1MTYxNDRGNyJ9.lmp1bBJSE-nTFDkQax2z0TS9R8SzkzvJEmKNBItQD0o
"AI is already wreaking havoc on global power systems" by Josh Saul, Leonardo Nicoletti, Saritha Rai, Dina Bass, Ian King, and Jennifer Duggan. June 21, 2024. Bloomberg. https://www.bloomberg.com/graphics/2024-ai-data-centers-power-grids
"AI is exhausting the power grid. Tech firms are seeking a miracle solution." by Evan Halper and Caroline O'Donovan. June 21, 2024. The Washington Post. https://www.washingtonpost.com/business/2024/06/21/artificial-intelligence-nuclear-fusion-climate/
"The Hidden Environmental Impact of AI" by Lois Parshley. June 20, 2024. Jacobin. https://jacobin.com/2024/06/ai-data-center-energy-usage-environment
"AI’s environmental cost could outweigh sustainability benefits" by Sebastian Klovig Skelton. June 13, 2024. Computer Weekly. https://www.computerweekly.com/news/366588668/AIs-environmental-cost-could-outweigh-sustainability-benefits
"What Do Google’s AI Answers Cost the Environment?" by Allison Parshall. June 11, 2024. Scientific American. https://web.archive.org/web/20240611122215/https://www.scientificamerican.com/article/what-do-googles-ai-answers-cost-the-environment/
"U.S tech giants are building dozens of huge data centers in Chile. Locals are fighting back" by Daniela Dib. May 31, 2024. Rest of World. https://restofworld.org/2024/data-centers-environmental-issues/
"AI’s thirst for electricity risks slowing US coal phaseout" by Amanda Chu. May 30, 2024. Financial Times. https://www.ft.com/content/158d20ec-fcb1-4638-ad74-6b43bf6a3df0?edit=true
"Electricity grids creak as AI demands soar" by Chris Baraniuk. May 21, 2024. BBC. https://www.bbc.com/news/articles/cj5ll89dy2mo
"Microsoft’s AI Push Imperils Climate Goal as Carbon Emissions Jump 30%" by Akshat Rathi and Dina Bass. May 15, 2024. Bloomberg. https://www.bloomberg.com/news/articles/2024-05-15/microsoft-s-ai-investment-imperils-climate-goal-as-emissions-jump-30
"Energy-hungry AI models could strain water and power grids. Can the sector handle the demand?" by Joe Castaldo. May 11, 2024. The Globe and Mail. https://www.theglobeandmail.com/business/article-ai-electricity-water-environment-climate-change/
"Big tech’s great AI power grab." No author listed. May 5, 2024. The Economist. https://www.economist.com/business/2024/05/05/big-techs-great-ai-power-grab
"How AI causes serious environmental problems (but might also provide solutions)" by DW News. April 29, 2024. https://www.youtube.com/watch?v=9aBNIekp4qY
"Google data center would be among Cedar Rapids’ largest water and energy users" by Erin Jordan. April 28, 2024. The Gazette. https://www.thegazette.com/environment-nature/google-data-center-would-be-among-cedar-rapids-largest-water-and-energy-users/
"AI Boom’s Secret Winners? The Companies Expected to Power It" by Natalia Kniazhevich. April 27, 2024. Bloomberg. https://www.bloomberg.com/news/articles/2024-04-27/ai-boom-s-secret-winners-the-companies-expected-to-power-it
"Penn professor on gen AI’s rapacious use of energy: ‘One of the defining challenges of my career’" by Sarah Huffman. April 22, 2024. Technical.ly. https://technical.ly/software-development/ai-energy-costs-penn-professor-benjamin-lee/
"Data centers fuel AI and crypto but could threaten climate, experts say" by Max Zahn. April 20, 2024. ABC News. https://abcnews.go.com/Business/data-centers-fuel-ai-crypto-threaten-climate-experts/story?id=109342525
"Tech companies are shopping for nuclear power to run new data centers" by Catherine Morehouse. April 19, 2024. E&E News. https://www.eenews.net/articles/tech-companies-are-shopping-for-nuclear-power-to-run-new-data-centers/
"AI Computing Is on Pace to Consume More Energy Than India, Arm Says" by Ian King. April 17, 2024. Bloomberg. https://www.bloomberg.com/news/articles/2024-04-17/ai-computing-is-on-pace-to-consume-more-energy-than-india-arm-says
"Biden's push for renewables is clashing with a growing demand for electricity" by Emily Jones. April 14, 2024. NPR. https://www.npr.org/2024/04/14/1244683844/bidens-push-for-renewables-is-clashing-with-a-growing-demand-for-electricity
"AI Demand for Data Centers Vastly Underestimated, CoreWeave Says" by Lynn Doan. April 6, 2024. Bloomberg. https://www.bloomberg.com/news/articles/2024-04-04/ai-demand-for-data-centers-vastly-underestimated-coreweave-says
"AI revolution will be boon for natural gas, say fossil fuel bosses" by Myles McCormick, Jamie Smyth, and Amanda Chu. March 31, 2024. Financial Times. https://www.ft.com/content/1f93b9b2-b264-44e2-87cc-83c04d8f1e2b
"AI already uses as much energy as a small country. It’s only the beginning." by Brian Calvert. March 28, 2024. Vox. https://www.vox.com/climate/2024/3/28/24111721/ai-uses-a-lot-of-energy-experts-expect-it-to-double-in-just-a-few-years
"Data centre power use 'to surge six-fold in 10 years'". No author. March 26, 2024. BBC News. https://www.bbc.com/news/technology-68664182
"Data centers are proliferating. So are concerns about their effects on Colorado’s environment." by Mark Jaffe. March 25, 2024. The Colorado Sun. https://coloradosun.com/2024/03/25/as-demand-for-data-centers-grows-so-do-concerns-over-their-effects-on-colorados-environment/
"Why AI Is So Thirsty: Data Centers Use Massive Amounts of Water" by Jeff Young. March 24, 2024. Newsweek. https://www.newsweek.com/why-ai-so-thirsty-data-centers-use-massive-amounts-water-1882374
"Critics fear catastrophic energy crisis as AI is outsourced to Latin America" by Gerry McGovern and Sue Branford. March 21, 2024. Mongabay. https://news.mongabay.com/2024/03/critics-fear-catastrophic-energy-crisis-as-ai-is-outsourced-to-latin-america/
"AI likely to increase energy use and accelerate climate misinformation – report" by Oliver Millman. March 7, 2024. The Guardian. https://www.theguardian.com/technology/2024/mar/07/ai-climate-change-energy-disinformation-report
"AI Is Taking Water From the Desert" by Karen Hao. March 1, 2024. The Atlantic. https://www.theatlantic.com/technology/archive/2024/03/ai-water-climate-microsoft/677602/
"The Dirty Energy Fueling Amazon’s Data Gold Rush" by Ella Fanger. February 22, 2024. The Nation. https://www.thenation.com/article/environment/data-centers-virginia-amazon-environment/
"How much electricity does AI consume?" by James Vincent. February 16, 2024. The Verge. https://www.theverge.com/24066646/ai-electricity-energy-watts-generative-consumption
"Electricity Demand at Data Centers Seen Doubling in Three Years" by Eamon Farhat. January 24, 2024. Bloomberg Technology. https://www.bloomberg.com/news/articles/2024-01-24/cryptocurrency-ai-electricity-demand-seen-doubling-in-three-years
"To understand how AI is contributing to climate change, look at the way it’s being used" by Jude Coleman. December 7, 2023. Scientific American. https://www.scientificamerican.com/article/ais-climate-impact-goes-beyond-its-emissions/
"Artificial intelligence technology behind ChatGPT was built in Iowa — with a lot of water" by Matt O’Brien and Hannah Fingerhut. September 9, 2023. AP News. https://apnews.com/article/chatgpt-gpt4-iowa-ai-water-consumption-microsoft-f551fde98083d17a7e8d904f8be822c4
"Drought puts scrutiny on data centers in Oregon." October 22, 2021. AP News. https://www.youtube.com/watch?v=9Kqfdq8ljUI
Peer-Reviewed Articles and Books
"The supply chain capitalism of AI: a call to (re)think algorithmic harms and resistance through environmental lens" by Ana Valdivia. October 30, 2024. Information, Communication & Society. https://www.tandfonline.com/doi/full/10.1080/1369118X.2024.2420021?src=exp-la
"E-waste challenges of generative artificial intelligence" by Peng Wang, Ling-Yu Zhang, Asaf Tzachor, and Wei-Qiang Chen. October 28, 2024. Nature Computational Science. https://www.nature.com/articles/s43588-024-00712-6
"Power Hungry Processing: Watts Driving the Cost of AI Deployment?" by Alexandra Sasha Luccioni, Yacine Jernite, and Emma Strubell. n.d. FAccT 2024. https://facctconference.org/static/papers24/facct24-6.pdf
"Carbon Emissions in the Tailpipe of Generative AI" by Tamara Kneese and Meg Young. June 11, 2024. Harvard Data Science Review. https://hdsr.mitpress.mit.edu/pub/fscsqwx4/release/1
"Extractive AI" by Mél Hogan & Théo Lepage-Richer. n.d. Climate Justice and Technology Essay Series. Center for Media, Technolgy & Democracy. https://www.mediatechdemocracy.com/climatetechhoganlepagericher
"The Problem of Sustainable AI: A Critical Assessment of an Emerging Phenomenon" by Paul Schütze. April 22, 2024. Weizenbaum Journal of the Digital Society. https://ojs.weizenbaum-institut.de/index.php/wjds/article/view/4_1_4/119
"The mechanisms of AI hype and its planetary and social costs" by Alva Markelius, Connor Wright, Joahna Kuiper, Natalie Delille, and Yu‑Ting Kuo. April 2, 2024. AI and Ethics. https://link.springer.com/article/10.1007/s43681-024-00461-2
"The fumes of AI" by Mél Hogan. April 1, 2024. Critical AI. https://read.dukeupress.edu/critical-ai/article/doi/10.1215/2834703X-11205231/390852/The-Fumes-of-AI?guestAccessKey=ffbef0a8-23e2-4c6e-8e3d-9a2e60ff4ab1
"The impacts of AI futurism: an unfiltered look at AI's true effects on the climate crisis" by Paul Schütze. March 26, 2024. Ethics and Information Technology. https://link.springer.com/article/10.1007/s10676-024-09758-6
"Tactics of Earthy Data: Decolonising for the Anthropocene." by diane U+16DE. 2024. Technology and Regulation. https://techreg.org/article/view/13299
"An Elemental Ethics for Artificial Intelligence: Water as Resistance Within AI’s Value Chain" by Sebastián Lehuedé. March 12, 2024. AI & Society: Journal of Knowledge, Culture and Communication. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4756794
"Making AI Less 'Thirsty': Uncovering and Addressing the Secret Water Footprint of AI Models" by Pengfei Li, Jianyi Yang, Mohammad A. Islam, and Shaolei Ren. Communications of the ACM. October 2023. https://arxiv.org/abs/2304.03271
"The Staggering Ecological Impacts of Computation and the Cloud" by Steven Gonzalez Monserrate. February 14, 2022. The MIT Press Reader. https://thereader.mitpress.mit.edu/the-staggering-ecological-impacts-of-computation-and-the-cloud/
"Re-imagining digital networks from the ground-up" by Marcela Estrada and Sebastian Lehuede. 2022. Tapuya: Latin American Science, Technology and Society. https://www.tandfonline.com/doi/full/10.1080/25729861.2022.2139913
Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence by Kate Crawford. 2022. Yale University Press. https://yalebooks.yale.edu/book/9780300264630/atlas-of-ai/
"Is AI Good for the Planet?" by Benedetta Brevini. 2022. Polity Press. https://www.wiley.com/en-us/Is+AI+Good+for+the+Planet%3F-p-9781509547944
"On the Dangers of Stochastic Parrots: Can Language Models be Too Big?" by Emily Bender, Timnit Gebru et al. FAccT 2021. https://dl.acm.org/doi/10.1145/3442188.3445922
"Energy and Policy Considerations for Deep Learning in NLP" by Emma Strubell, Ananya Ganesh, and Andrew McCallum. 57th Annual Meeting of the Association for Computational Linguistics. July 2019. https://arxiv.org/abs/1906.02243
"Big Data Ecologies" by Mél Hogan. 2018. Ephemera. https://ephemerajournal.org/contribution/big-data-ecologies
"The Environmental History of Computing" by Nathan Ensmenger. 2018. Technology & Culture https://www.researchgate.net/publication/330006397_The_Environmental_History_of_Computing
"Data flows and water woes: The Utah Data Center" by Mél Hogan. July 13, 2015. Big Data and Society. https://journals.sagepub.com/doi/full/10.1177/2053951715592429
Other Media: Podcasts, Blog Posts, Panel Discussions, etc
"The Local Impact of Data Centers with Julie Bolthouse" by CURA OSU. YouTube. Jan 24, 2025. https://www.youtube.com/watch?v=cMAt8wdtWtw.
"AI Companies Gamble with Everyone's Planet" featuring Paris Marx on the podcast Mystery AI Hype Theater 3000. October 31, 2024. https://www.buzzsprout.com/2126417/episodes/16022676-episode-43-ai-companies-gamble-with-everyone-s-planet-feat-paris-marx
"Data Vampires." (Part 1 of 4). October 7, 2024. Tech Won't Save Us podcast. https://techwontsave.us/episode/241_data_vampires_going_hyperscale_episode_1
"Optimizing for Planetary Crisis." October 1, 2024. This Machine Kills podcast. https://soundcloud.com/thismachinekillspod/371-optimizing-for-planetary-crisis
"Sorry, AI won’t 'fix' climate change" by James Temple. September 28, 2024. MIT Technology Review. https://www.technologyreview.com/2024/09/28/1104588/sorry-ai-wont-fix-climate-change
"AI is revitalizing the fossil fuels industry, and big tech has nothing to say for itself" by Brian Merchant. September 18, 2024. Blood in the Machine newsletter. https://www.bloodinthemachine.com/p/ai-is-revitalizing-the-fossil-fuels
"The Environmental Impacts of AI -- Policy Primer" by Sasha Luccioni, Bruna Trevelin, and Margaret Mitchell. September 3, 2024. Hugging Face. https://huggingface.co/blog/sasha/ai-environment-primer
"Generative AI is a climate disaster" featuring Sasha Luccioni on the podcast Tech Won't Save Us. July 18, 2024. https://www.techwontsave.us/episode/229_generative_ai_is_a_climate_disaster_w_sasha_luccioni
"Resisting AI" by Dan McQuillan. July 17, 2024. Talk at the 2nd Ecology of AI Workshop. https://www.youtube.com/watch?v=WCnSCB19l7A
"Power-hungry AI is driving a surge in tech giant carbon emissions. Nobody knows what to do about it." by Gordon Noble and Fiona Berry. July 8, 2024. The Conversation. https://theconversation.com/power-hungry-ai-is-driving-a-surge-in-tech-giant-carbon-emissions-nobody-knows-what-to-do-about-it-233452
"Generative AI is a climate disaster" by Paris Marx. July 5, 2024. Disconnect Blog. https://disconnect.blog/generative-ai-is-a-climate-disaster/
"How AI is boiling the oceans." July 2, 2024. This Machine Kills podcast. https://soundcloud.com/thismachinekillspod/351-how-ai-is-boiling-the-oceans
"On the energy demands of 'AI'" by Emily Bender. June 24, 2024. Myster AI Hype Theater 3000: The Newsletter. https://buttondown.email/maiht3k/archive/on-the-energy-demands-of-ai/
"AI Governance Needs a Climate Change Strategy" by Christelle Tessono. June 20, 2024. Centre for International Governance Innovation. https://www.cigionline.org/static/documents/DPH-paper-Tessono_p7QWmGF.pdf
"The Real World Cost of AI." A conversation between Kate Crawford and Taylor Owen. June 18, 2024. Machines Like Us podcast. https://www.theglobeandmail.com/podcasts/machines-like-us/article-the-real-world-costs-of-ai/
"Greater, newer AI models come with environmental impacts." A conversation between Meghan McCarty Carino and Emma Strubell. June 13, 2024. Marketplace Tech podcast. https://www.marketplace.org/shows/marketplace-tech/greater-newer-ai-models-come-with-environmental-impacts/
"The ugly truth behind ChatGPT: AI is guzzling resources at planet-eating rates" by Mariana Mazzucato. May 30, 2024. The Guardian. https://www.theguardian.com/commentisfree/article/2024/may/30/ugly-truth-ai-chatgpt-guzzling-resources-environment?CMP=fb_a-technology_b-gdntech
"Hope: The AI Act’s Approach to Address the Environmental Impact of AI" by Zuzanna Warson and Kris Shrishak. May 21, 2024. Tech Policy Press. https://www.techpolicy.press/hope-the-ai-acts-approach-to-address-the-environmental-impact-of-ai/
"Thirsty, with Shaolei Ren" on The Data Fix podcast by Mél Hogan. May 13, 2024. https://shows.acast.com/the-data-fix/episodes/thirsty-with
"ChatGPT vs. the climate: The hidden environmental costs of AI" by Manoush Zomorodi, James Delahoussaye, and Sanaz Meshkinpour. May 10, 2024. TED Radio Hour. https://www.npr.org/2024/05/10/1250261120/chatgpt-vs-the-climate-the-hidden-environmental-costs-of-ai
"Your Artificial Future is Repulsive: On Climate Change, Data Tech, and Artifice," by Theodora Dryer. May 9, 2024. Just Tech. https://just-tech.ssrc.org/field-reviews/your-artificial-future-is-repulsive-on-climate-change-data-tech-and-artifice/
"Cartography of generative AI" by Estampa. 2024. https://cartography-of-generative-ai.net/
"Critical AI and Critical Data Center Studies" library from Mél Hogan. https://docs.google.com/document/d/1bnbDNTXlpddbfuShMgRKWvWLFIKUKBchUkluMMOVRkw/edit?usp=sharing
"AI’s excessive water consumption threatens to drown out its environmental contributions" by Joyeeta Gupta, Hilmer Bosch, and Luc van Vliet. March 21, 2024. The Conversation. https://theconversation.com/ais-excessive-water-consumption-threatens-to-drown-out-its-environmental-contributions-225854
"AI & the Climate Crisis". Panelists: Boxi Wu, Fieke Jansen, Sebastián Lehuedé, and Patrick Brodie. March 19, 2024. Recording: https://goldsmiths.cloud.panopto.eu/Panopto/Pages/Viewer.aspx?id=609824f6-5e69-4241-9bd4-b13a00d3d05b
"The Weight of the Cloud" by Steven Gonzalez Monserrate. March 4, 2024. Yes! https://www.yesmagazine.org/issue/connections/2024/03/04/the-weight-of-the-cloud
"Generative AI’s environmental costs are soaring — and mostly secret" by Kate Crawford. February 20, 2024. Nature. https://www.nature.com/articles/d41586-024-00478-x
"Efficient, with Anne Pasek" on The Data Fix podcast by Mél Hogan. February 12, 2024. https://shows.acast.com/the-data-fix/episodes/efficient-with-anne-pasek
"Measuring AI’s Environmental Impacts Requires Empirical Research and Standards" by Tamara Kneese. February 12, 2024. Tech Policy Press. https://www.techpolicy.press/measuring-ais-environmental-impacts-requires-empirical-research-and-standards/
"AI is fueling a data center boom. It must be stopped." by Paris Marx. February 9, 2024. Disconnect Blog. https://disconnect.blog/ai-is-fueling-a-data-center-boom/
"How to stop a data center" by Paris Marx. February 6, 2024. Disconnect Blog. https://disconnect.blog/how-to-stop-a-data-center/
"The US must balance climate justice challenges in the era of artificial intelligence" by Joseph B. Keller, Manann Donoghoe, and Andre M. Perry. January 29, 2024. The Brookings Institution. https://www.brookings.edu/articles/the-us-must-balance-climate-justice-challenges-in-the-era-of-artificial-intelligence/
"Impacts, with Irene Niet" on The Data Fix podcast by Mél Hogan. December 11, 2023. https://shows.acast.com/the-data-fix/episodes/impacts-with-irene-niet
"How much water does AI consume? The public deserves to know" by Shaolei Ren. November 30, 2023. OECD. https://oecd.ai/en/wonk/how-much-water-does-ai-consume
"Empathy, with Steven Gonzalez Monserrate" on The Data Fix podcast by Mél Hogan. November 13, 2023. https://shows.acast.com/the-data-fix/episodes/empathy-with-steven-gonzalez-monserrate
"Cycles, with Ana Valdivia" on The Data Fix podcast by Mél Hogan. August 28, 2023. https://shows.acast.com/the-data-fix/episodes/cycles-with-ana-valdivia
"Getting into Fights with Data Centres: Or, a Modest Proposal for Reframing the Climate Politics of ICT" by Anne Pasek. July 2023. https://emmlab.info/Resources_page/Data%20Center%20Fights_digital.pdf
"Rural Spain could end up hosting infrastructure hubs for AI – here’s what the environmental cost could be" by Ana Valdivia. June 21, 2023. The Conversation. https://theconversation.com/rural-spain-could-end-up-hosting-infrastructure-hubs-for-ai-heres-what-the-environmental-cost-could-be-205504
"Generating Harms: Generative AI's Impact and Paths Foward" by Grant Fergusson
Caitriona Fitzgerald, Chris Frascella, Megan Iorio, Tom McBrien, Calli Schroeder, Ben Winters, and Enid Zhou. May 2023. Electronic Privacy Information Center. https://epic.org/documents/generating-harms-generative-ais-impact-paths-forward/
"The Secret Water Footprint of AI Technology: A conversation with Shaolei Ren" by Nabiha Syed. April 15, 2023. The Markup. https://themarkup.org/hello-world/2023/04/15/the-secret-water-footprint-of-ai-technology
"The mounting human and environmental costs of generative AI" by Sasha Luccioni. April 12, 2023. Ars Technica. https://arstechnica.com/gadgets/2023/04/generative-ai-is-cool-but-lets-not-forget-its-human-and-environmental-costs/
"Greener, with Sasha Luccioni" on The Data Fix podcast by Mél Hogan. March 20, 2023. https://shows.acast.com/the-data-fix/episodes/63e40456946854001114702
WILDERLAND considers its own ecological impact, and chooses low-carbon ways of doing, wherever possible. This consideration extends to the digital materials WILDERLAND needs / produces. Through its collaboration with Materials Matter, WILDERLAND acknowledges that this website, and the audio visual material used for events and documentation have an ecological weight. Employing principles of Permacomputing, WILDERLAND takes responsability for it's own digital infrastructure, and makes this a site of research. Read more about this on the [Permacomputing project page](/projects/permacomputing.html).
*Permacomputing is a nascent concept and a community of practice centred around design principles that embrace limits and constraints as a positive thing in computational culture, and on creativity with scarce computational resources.*
*Ireland’s energy-hungry datacentres consumed more electricity last year than all of its urban homes combined, according to official figures.*
https://www.theguardian.com/world/article/2024/jul/23/ireland-datacentres-overtake-electricity-use-of-all-homes-combined-figures-show
https://www.theguardian.com/world/2024/feb/15/power-grab-hidden-costs-of-ireland-datacentre-boom
\ No newline at end of file
title: EdTech as climate criminal
subtitle: Considering the excesses of the ITC sector, and how higher education should respond.
author: Colm O'Neill
institution: SETU (South East Technological University - Carlow Campus)
keywords: edTech, sustainability, climate climinality, permacomputing, computing within limits, * within limits, ecological responsibility.
abstract: This study was undertaken to highlight the ecological implications of EdTEch, the excessive nature of modern digital technology, to examine the need for sustainable practices in the ICT sector and education's involvement therein. The environmental impact of EdTech remains an underexamined consequence of the use of digital technology in education contexts, one that is not often considered among known issues of digital education. This impact is growing exponentially with the presence of AI in the sector. The selection and adoption of EdTech tools is deeply influenced by institutional policies and governance, which have remits to reduce ecological impact and carbon footprint, but rarely consider digital technology and EdTech as part of the harmful contributors. Understanding and addressing these interconnected challenges is critical for aligning EdTech with planetary and social equity goals. The study follows a "possible action structure" used by Neil Selwyn that considers “business as usual”, “greening” EdTech, and “burning it to the ground” to critically analyze the sustainability claims and practices within the EdTech sector. Actionable insights are drawn from the empirical examination of case studies; selected socio-technical educational practices, in which computing technologies are embroiled, including solar-powered websites, self-hosted systems, and upcycled hardware infrastructures. The outcomes of the research identify practical strategies, for people to come together and directly counter EdTech’s environmental footprint. The research uses an exploratory case study methodology, and a theoretical framework which is directly influenced by the principles of ecojustice and permacomputing. These perspectives provide a lens for evaluating the ecological, social, and cultural dimensions of EdTech and for proposing sustainable alternatives. The study situates EdTech within broader socio-political and cultural contexts, contributing to critical debates on its future. By connecting the critical analysis with possible solutions, it opens avenues for constructive dialogue on aligning digital education with ecological responsibility, aiming to offer critical insights for policymakers, educators, and technologists.
\ No newline at end of file
title: EdTech as climate criminal
subtitle: Considering the excesses of the ITC sector, and how higher education should respond.
author: Colm O'Neill
institution: SETU (South East Technological University - Carlow Campus)
keywords: edTech, sustainability, climate climinality, permacomputing, computing within limits, * within limits, ecological responsibility.
abstract: This study was undertaken to highlight the ecological implications of EdTEch, the excessive nature of modern digital technology, to examine the need for sustainable practices in the ICT sector and education's involvement therein. The environmental impact of EdTech remains an underexamined consequence of the use of digital technology in education contexts, one that is not often considered among known issues of digital education. This impact is growing exponentially with the presence of AI in the sector. The selection and adoption of EdTech tools is deeply influenced by institutional policies and governance, which have remits to reduce ecological impact and carbon footprint, but rarely consider digital technology and EdTech as part of the harmful contributors. Understanding and addressing these interconnected challenges is critical for aligning EdTech with planetary and social equity goals. The study follows a "possible action structure" used by Neil Selwyn that considers “business as usual”, “greening” EdTech, and “burning it to the ground” to critically analyze the sustainability claims and practices within the EdTech sector. Actionable insights are drawn from the empirical examination of case studies; selected socio-technical educational practices, in which computing technologies are embroiled, including solar-powered websites, self-hosted systems, and upcycled hardware infrastructures. The outcomes of the research identify practical strategies, for people to come together and directly counter EdTech’s environmental footprint. The research uses an exploratory case study methodology, and a theoretical framework which is directly influenced by the principles of ecojustice and permacomputing. These perspectives provide a lens for evaluating the ecological, social, and cultural dimensions of EdTech and for proposing sustainable alternatives. The study situates EdTech within broader socio-political and cultural contexts, contributing to critical debates on its future. By connecting the critical analysis with possible solutions, it opens avenues for constructive dialogue on aligning digital education with ecological responsibility, aiming to offer critical insights for policymakers, educators, and technologists.
\ No newline at end of file
0% Loading or .
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment