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AI For Environmental Policy and Climate Governance

環境政策と気候ガバナンスのためのAI (AI 翻訳)

Avtar Singh, Dalwinder Kaur Dhillon

ジャーナル2026-05-13#AI×ESGOrigin: Global
DOI: 10.4324/9781003618089-7
原典: https://doi.org/10.4324/9781003618089-7

🤖 gxceed AI 要約

日本語

本稿は、人工知能（AI）が環境ガバナンスに果たす役割を考察。森林伐採の監視、温室効果ガスの追跡、再生可能エネルギーの最適化、精密農業、異常気象の監視などへの応用を紹介し、気候変動の緩和・適応・レジリエンス向上に貢献する可能性を示す。同時に、AIのエネルギー消費やバイアス、透明性・説明責任の問題を指摘し、責任ある持続可能なAI利用の必要性を強調する。

English

This chapter explores the role of artificial intelligence (AI) in environmental governance. It discusses applications such as deforestation monitoring, greenhouse gas tracking, renewable energy optimization, precision agriculture, and extreme weather monitoring, contributing to mitigation, adaptation, and climate resilience. It also raises concerns about AI's energy use, bias, transparency, and accountability, advocating for responsible and sustainable AI deployment.

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

日本のGX文脈では、AIの活用は「GXリーグ」や排出量可視化、省エネ最適化などで注目される。本稿は基礎的な俯瞰を提供し、AI導入に伴うリスク（電力消費・公平性）にも触れており、日本の政策立案や企業のAI活用検討に示唆を与える。

In the global GX context

Globally, AI is increasingly integrated into climate governance, from emissions tracking to model-based policy. This chapter provides a balanced overview of opportunities and challenges, relevant to international frameworks like the Global Stocktake and discussions on AI ethics in climate action.

👥 読者別の含意

🔬研究者:Researchers can use this as a concise overview of AI applications in climate governance and associated ethical issues.

🏢実務担当者:Practitioners exploring AI tools for emissions tracking or energy optimization can find a starting point for use cases and risk awareness.

🏛政策担当者:Policymakers should note the dual potential of AI to enhance climate action and the need for governance to mitigate its own environmental and ethical footprint.

📄 Abstract（原文）

Climate change has become the prominent issue of the 21st century and requires a new approach to address a problem that is not traditional but involves innovative and technology-based approaches. Artificial Intelligence (AI) can enable environmental governance by providing transformative powers in terms of data analysis, better climate modeling, and evidence-based policymaking. It can be used in monitoring deforestation, tracking greenhouse gases, optimization of renewable energy, precise farming, and monitoring extreme weather directly improving the strategies of mitigation, adaptation, and climate resilience. Nonetheless, the quick development of AI provokes the issues associated with energy usage, discrimination, openness, and responsibility. This chapter suggests that a responsibility-managed, sustainability-driven AI can become the center of making productive environmental policy and develop global climate-action priorities.

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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。