{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,6]],"date-time":"2026-10-06T04:50:40Z","timestamp":1791262240234,"version":"4.1.0"},"reference-count":85,"publisher":"Wiley","issue":"3","license":[{"start":{"date-parts":[[2026,10,5]],"date-time":"2026-10-05T00:00:00Z","timestamp":1791158400000},"content-version":"vor","delay-in-days":4,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Applied AI Letters"],"published-print":{"date-parts":[[2026,10]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>\n                    Artificial intelligence is increasingly promoted as a tool for sustainable development, climate governance and resource optimisation. Nevertheless, the environmental footprint of AI systems, including energy consumption, carbon emissions, water use, hardware production and electronic waste, remains insufficiently integrated into legal and regulatory frameworks. This article doctrinally examines Green AI through Edith Brown Weiss's tripartite framework of intergenerational equity comprising conservation of options, conservation of quality and conservation of access. It argues that current AI governance frameworks remain incomplete because they focus primarily on safety, bias, transparency and human oversight while treating environmental sustainability as a secondary or voluntary concern. The article develops an Intergenerational Green AI Accountability Framework that translates intergenerational equity into practical governance indicators, including FLOPs per task, CO\n                    <jats:sub>2<\/jats:sub>\n                    e per training run, CO\n                    <jats:sub>2<\/jats:sub>\n                    e per inference, kWh per inference, water usage effectiveness, renewable\u2010energy share, embodied hardware carbon, e\u2010waste destination and equitable access to green compute. It further proposes a polycentric governance architecture, such as model\u2010level environmental disclosure, lifecycle assessment, environmental model cards, independent audits, sustainable public procurement and equity\u2010sensitive international cooperation. The article concludes that AI should not be regarded as sustainable merely because it is deployed for climate or development objectives. It should be considered sustainable only where its own environmental costs are measured, disclosed, reduced and fairly governed.\n                  <\/jats:p>","DOI":"10.1002\/ail2.70038","type":"journal-article","created":{"date-parts":[[2026,10,6]],"date-time":"2026-10-06T03:57:40Z","timestamp":1791259060000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Intergenerational Green Artificial Intelligence Governance: Operationalising Environmental Accountability in Sustainable Artificial Intelligence Systems"],"prefix":"10.1002","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-2370-605X","authenticated-orcid":false,"given":"Parul","family":"Shukla","sequence":"first","affiliation":[{"name":"Faculty of Law Marwadi University  Rajkot Gujarat India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8096-6929","authenticated-orcid":false,"given":"Jackson Simango","family":"Magoge","sequence":"additional","affiliation":[{"name":"National Institute of Transport (NIT)  Dar es Salaam Tanzania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2927-0069","authenticated-orcid":false,"given":"Ishita","family":"Chatterjee","sequence":"additional","affiliation":[{"name":"Faculty of Law Marwadi University  Rajkot Gujarat India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-0173-1305","authenticated-orcid":false,"given":"Praygod J.","family":"Mbilinyi","sequence":"additional","affiliation":[{"name":"Dar es Salaam Tumaini University  Dar es Salaam Tanzania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-3685-4913","authenticated-orcid":false,"given":"Malavika","family":"Nandivelugu","sequence":"additional","affiliation":[{"name":"Law Offices of Kevin J Stewart  Oakland California USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,10,5]]},"reference":[{"key":"e_1_2_14_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2024.128096"},{"key":"e_1_2_14_3_1","unstructured":"M.RojahnandM.Grum \u201cGreen AI: A Systematic Review and Meta\u2010Analysis \u201d2025 arXiv https:\/\/arxiv.org\/abs\/2511.07090."},{"key":"e_1_2_14_4_1","doi-asserted-by":"publisher","DOI":"10.1002\/widm.1507"},{"key":"e_1_2_14_5_1","unstructured":"R.Ranpara \u201cEnergy\u2010Efficient Green AI Architectures for Circular Economies \u201d2025 arXiv https:\/\/arxiv.org\/abs\/2506.12262."},{"key":"e_1_2_14_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jclepro.2024.143090"},{"key":"e_1_2_14_7_1","doi-asserted-by":"publisher","DOI":"10.1186\/s40537\u2010024\u201000920\u2010x"},{"key":"e_1_2_14_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/3381831"},{"key":"e_1_2_14_9_1","doi-asserted-by":"publisher","DOI":"10.1177\/2053951720935141"},{"key":"e_1_2_14_10_1","doi-asserted-by":"publisher","DOI":"10.1007\/s43681\u2010021\u201000043\u20106"},{"key":"e_1_2_14_11_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41467\u2010019\u201014108\u2010y"},{"key":"e_1_2_14_12_1","doi-asserted-by":"crossref","first-page":"37","DOI":"10.1163\/9789004633544","volume-title":"In Fairness to Future Generations: International Law, Common Patrimony, and Intergenerational Equity","author":"Weiss E. 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