Sustainable AI for Schools: Embedding Climate Accountability in Educational Technology Governance
学校向けサステナブルAI：教育テクノロジーガバナンスへの気候説明責任の組み込み (AI 翻訳)
Haylee Massaro
🤖 gxceed AI 要約
日本語
本稿は、学校における生成AI（GenAI）導入に伴う環境・気候影響（データセンターの電力・水消費、炭素排出）に注目し、気候説明責任を教育AIガバナンスに組み込む必要性を論じる。気候情報開示、持続可能な調達基準、子ども中心の環境影響評価を政府および多国間機関が導入すべきと提言する。
English
This memo argues that expanding generative AI in schools without environmental accountability risks climate injustice for children. It proposes that governments embed climate disclosure, sustainable procurement standards, and child-centered environmental impact assessments into AI governance frameworks for education.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本でもGIGAスクール構想以降、教育現場へのAI導入が加速しているが、データセンターの環境負荷はあまり議論されていない。SSBJ開示基準やグリーン調達の流れを踏まえ、教育AIのガバナンスに気候説明責任を組み込む視点は、日本の学校現場や自治体の調達にも示唆を与える。
In the global GX context
This paper connects the global push for AI in education with climate disclosure frameworks (ISSB, CSRD) and sustainable procurement. It highlights an underexplored dimension: the environmental footprint of AI infrastructure, especially data centers, and calls for child-centered climate accountability in digital governance. This aligns with growing attention to Scope 2/3 emissions in public-sector IT procurement.
👥 読者別の含意
🔬研究者:Connects AI governance and climate justice for children, opening a new research avenue on educational technology's environmental impact.
🏢実務担当者:Provides a framework for schools and EdTech vendors to integrate climate disclosure and sustainable procurement into AI adoption decisions.
🏛政策担当者:Offers concrete policy recommendations to embed climate accountability in AI governance for education, relevant for ministries of education and environment.
📄 Abstract（原文）
Generative artificial intelligence (GenAI) tools are increasingly being introduced into education systems worldwide, often with the expectation that schools must prepare students for a workforce shaped by these technologies. Policymakers and school leaders have focused heavily on issues of academic integrity, bias, accountability, and digital literacy, but far less attention has been given to the environmental and climate impacts of the infrastructure that powers these systems. Data centers that power large-scale AI systems consume significant electricity and water and contribute to carbon emissions. These centers are also frequently located in communities already facing environmental vulnerability. This memo argues that expanding AI use in education without environmental accountability safeguards risks deepening climate injustice for children. It proposes that governments and multilateral organizations embed climate disclosure, sustainable procurement standards, and child-centered environmental impact assessments into AI governance frameworks for schools. By aligning AI adoption with climate responsibility, policymakers can ensure that technological innovation does not undermine children's right to a livable future.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.2139/ssrn.6351779first seen 2026-06-29 08:42:02
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