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katherine luccioni sasha 25 june 2026 from cradle to cloud a life cycle review of ai s environmental footprint acm p 518 540 arxiv 2605 05416 doi 10 1145 3805689 3812401 isbn 979 8 4007 2596 8 retrieved 27 july 2026 you josh 7 february 2025 how much energy does chatgpt use epoch ai retrieved 11 november 2025 1 2 luccioni sasha jernite yacine strubell emma 2024 power hungry processing watts driving the cost of ai deployment proceedings of the 2024 acm conference on fairness accountability and transparency pp 85 99 arxiv 2311 16863 doi 10 1145 3630106 3658542 isbn 979 8 4007 0450 5 we did the math on ai s energy footprint here s the story you haven t heard mit technology review 20 may 2025 retrieved 12 november 2025 tomlinson bill black rebecca w patterson donald j torrance andrew w 2024 the carbon emissions of writing and illustrating are lower for ai than for humans scientific reports 14 3732 doi 10 1038 s41598 024 54271 x woo nolan h 2025 a comparative study of ai and human programming on environmental sustainability scientific reports 15 39182 doi 10 1038 s41598 025 24658 5 pmc 12603251 pmid 41214116 bhattarai abha lerman rachel 25 december 2025 10 charts that show where the economy is heading 3 ai related investments the washington post source msci cite news cs1 maint url status link alšauskas oskaras 2024 world energy outlook 2024 pdf international energy agency paris france efficiency improvement of ai related computer chips 2008 2023 international energy agency paris iea 17 october 2024 retrieved 2 february 2026 1 2 3 gomes ben brandt kate 2 july 2024 our 2024 environmental report the keyword google retrieved 2 april 2026 1 2 3 patterson david gonzalez joseph hölzle urs le quoc liang chen munguia lluis miquel rothchild daniel so david r texier maud dean jeff 2022 the carbon footprint of machine learning training will plateau then shrink computer 55 7 18 28 doi 10 1109 mc 2022 3148714 ai and compute openai 16 may 2018 retrieved 2 april 2026 1 2 azevedo daniel 2011 water usage effectiveness wue a green grid data center sustainability metric pdf report the green grid retrieved 2 april 2026 1 2 macknick jordan newmark robin heath garvin hallett k 1 march 2011 review of operational water consumption and withdrawal factors for electricity generating technologies report national renewable energy laboratory doi 10 2172 1009674 osti 1009674 nrel tp 6a20 50900 1 2 3 4 li pengfei yang jianyi islam mohammad a ren shaolei 17 june 2025 making ai less thirsty communications of the acm doi 10 1145 3724499 energy and ai pdf report international energy agency 2023 p 242 243 shehabi arman smith sarah j hubbard alex newkirk alex lei nuoa siddik md abu bakkar holecek billie koomey jonathan masanet eric sartor dale december 2024 2024 united states data center energy usage report pdf report lawrence berkeley national laboratory lbnl 2001637 lei nuoa lu jun shehabi arman masanet eric 2025 the water use of data center workloads a review and assessment of key determinants resources conservation and recycling 219 108310 doi 10 1016 j resconrec 2025 108310 retrieved 25 july 2026 de vries gao alex 2026 the carbon and water footprints of data centers and what this could mean for artificial intelligence patterns 7 1 101430 doi 10 1016 j patter 2025 101430 pmc 12827721 pmid 41583976 retrieved 24 july 2026 shumba noah tshekiso opelo li pengfei fanti giulia ren shaolei 22 july 2025 a water efficiency dataset for african data centers acm p 453 460 doi 10 1145 3715335 3735483 isbn 979 8 4007 1484 9 retrieved 25 july 2026 1 2 3 siddik md abu bakar shehabi arman marston landon 2021 the environmental footprint of data centers in the united states environmental research letters 16 6 064017 doi 10 1088 1748 9326 abfba1 hdl 10919 109747 labrecque sarah 17 december 2025 desert storm can data centres slake their insatiable thirst for water reuters retrieved 3 april 2026 semiconductor manufacturing and big tech s water challenge world economic forum 19 july 2024 retrieved 2 april 2026 electronic waste e waste world health organization 1 october 2024 retrieved 2 april 2026 ks rakesh 2026 the accelerated decay re engineering terminal value in hyper capital intensive technology ssrn electronic journal doi 10 2139 ssrn 6731365 issn 1556 5068 retrieved 22 july 2026 iqbal saima s 14 november 2024 generative ai could generate millions more tons of e waste by 2030 scientific american retrieved 22 july 2026 de vries gao alex 2026 recalibrating global artificial intelligence e waste estimates resources conservation and recycling 229 108872 doi 10 1016 j resconrec 2026 108872 hdl 1871 1 a98e54d1 c817 45db a1f6 8a40365311df retrieved 22 july 2026 oise godfrey perfectson konyeha susan 16 october 2024 deep learning system for e waste management mdpi p 66 doi 10 3390 engproc2024067066 oise godfrey konyeha susan 15 august 2025 environmental impacts in e waste management using deep learning discover artificial intelligence 5 1 doi 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artificial intelligence human impact on the environment hidden categories...
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