🤖 gxceed AI 要約
日本語
本稿は、人工知能（AI）が気候変動において二面性を持つことを論じる。一方で、AIの広範な利用は大きなカーボンフットプリントをもたらす気候リスクを伴う。他方で、特にCSRDなどの規制枠組みや投資家圧力が高まる中、AIは企業の気候報告や気候計画の効率性・正確性を向上させ、情報過多を軽減する可能性がある。
English
This chapter examines the dual role of AI in climate change: while extensive AI use poses climate risks due to its carbon footprint, selective AI application can enhance corporate climate governance, particularly in reporting and planning under frameworks like the CSRD and market pressures.
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SSBJや有報での気候関連開示が進む中、AI活用による報告精度向上とリスク管理の可能性を示す点で示唆に富む。ただし、AI自体の環境負荷にも注意が必要。
In the global GX context
This analysis is globally relevant as regulators (CSRD, ISSB, SEC) push for enhanced climate disclosure; AI offers both tools for compliance and new risks from its own energy use, a duality that must inform corporate governance.
👥 読者別の含意
🔬研究者:Highlights the need for research on AI's net climate impact in corporate contexts.
🏢実務担当者:Provides a framework for leveraging AI in climate reporting while managing its carbon footprint.
🏛政策担当者:Suggests regulatory attention to AI's dual role in climate governance and disclosure.
📄 Abstract（原文）
Abstract Artificial intelligence (AI) has both beneficial and adverse effects on climate change. This chapter illustrates this dual role through several examples from corporate governance: On the one hand, legal designs that incentivise companies to use AI extensively and uncritically pose significant climate risks due to AI’s large carbon footprint. On the other hand, when used selectively, AI can play an important role in enhancing corporate climate governance. This is particularly evident in the areas of corporate climate reporting and corporate climate planning, which are increasingly influenced both by regulatory frameworks such as the Corporate Sustainability Reporting Directive (CSRD) and by market-driven dynamics, including investor expectations and stakeholder pressure. In this context, AI can not only help companies disclose emissions and identify climate-related risks more efficiently and accurately; it can also reduce information overload and support stakeholders in better processing the information provided in emissions and sustainability reports.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1093/9780197809198.003.0046first seen 2026-05-05 08:15:09 · last seen 2026-05-05 19:14:40
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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。