The unsuitability of existing regulations to reach sustainable AI
持続可能なAIを実現するための既存規制の不適合性 (AI 翻訳)
Thomas Le Goff
🤖 gxceed AI 要約
日本語
本論文は、EUのAI法、CSRD、CSDDD、データセンター規制がAIの環境フットプリント（エネルギー・水・資源消費）を効果的に規制できていないと批判。開示要件の狭さ、自主基準への過度依存、執行の弱さ、規制のすき間などを指摘し、COP30に向けた拘束力のある透明性義務やライフサイクル評価の国際標準化などを提言する。
English
This paper argues that EU regulations (AI Act, CSRD, CSDDD, data center rules) are ill-suited to govern AI's environmental footprint, citing narrow disclosure, over-reliance on voluntary standards, weak enforcement, and regulatory gaps. It recommends binding transparency, harmonized lifecycle assessment standards, stricter data center governance, and public participation for COP30.
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AI・データセンターの急拡大に伴う電力・水消費が課題となっており、本論文の規制分析は、日本のGX政策や情報開示制度（SSBJ等）の設計にも示唆を与える。特に、自主規準のみに頼らない実効的な規制の必要性を考える上で参考になる。
In the global GX context
This paper provides a critical analysis of EU regulatory gaps for AI sustainability, which is highly relevant to global discussions on disclosure, greenwashing, and data center governance. It offers valuable lessons for other jurisdictions (e.g., ISSB, SEC) and the COP30 agenda on aligning AI growth with climate goals.
👥 読者別の含意
🔬研究者:Highlights regulatory shortcomings in AI environmental governance and suggests areas for empirical research on regulatory effectiveness.
🏢実務担当者:Warns of greenwashing risks and the need for robust lifecycle assessment beyond voluntary standards for AI-related products and data centers.
🏛政策担当者:Provides concrete recommendations for binding transparency and international standards to correct market failures in AI energy and resource use.
📄 Abstract（原文）
This paper examines the European Union's emerging regulatory landscape - focusing on the AI Act, corporate sustainability reporting and due diligence regimes (CSRD and CSDDD), and data center regulation - to assess whether it can effectively govern AI's environmental footprint. We argue that, despite incremental progress, current approaches remain ill-suited to correcting the market failures underpinning AI-related energy use, water consumption, and material demand. Key shortcomings include narrow disclosure requirements, excessive reliance on voluntary standards, weak enforcement mechanisms, and a structural disconnect between AI-specific impacts and broader sustainability laws. The analysis situates these regulatory gaps within a wider ecosystem of academic research, civil society advocacy, standard-setting, and industry initiatives, highlighting risks of regulatory capture and greenwashing. Building on this diagnosis, the paper advances strategic recommendations for the COP30 Action Agenda, calling for binding transparency obligations, harmonized international standards for lifecycle assessment, stricter governance of data center expansion, and meaningful public participation in AI infrastructure decisions.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.48550/arxiv.2601.04958first seen 2026-05-15 19:12:45
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gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。