Energy-Aware Responsible AI for Climate Action
Rudra Anand Swant, Tanmay Jitendra Tambe, Ayush Rajkumar Munot, Anuradha Yenkikar
🤖 gxceed AI 要約
日本語
気候変動対策におけるAIの二面性を検討。再生可能エネルギー最適化や気候モデリングへの応用可能性と、AI自身のエネルギー消費や炭素排出リスクを分析。技術効率、環境責任、政策整合、グローバルサウスの参画を統合したフレームワークを提示。
English
Explores AI's dual role in climate action: as a tool for mitigation/adaptation and as an environmental burden. Proposes an energy-aware responsible AI framework integrating technical efficiency, environmental responsibility, policy alignment, and Global South engagement.
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
日本ではAIの活用と脱炭素化の両立が重要課題。本フレームワークは、AIシステムのエネルギー効率向上と気候政策への整合性を求める議論に示唆を与える。
In the global GX context
This chapter is relevant for global debates on sustainable AI and climate policy. It offers a systematic approach to align AI innovation with equitable and long-term climate transitions, addressing both opportunities and risks.
👥 読者別の含意
🔬研究者:Provides a conceptual framework for studying AI's environmental impact and its role in climate action.
🏛政策担当者:Offers guidance for developing policies that balance AI deployment with climate goals, especially regarding energy consumption and equity.
📄 Abstract（原文）
Artificial intelligence has emerged as a crucial enabler of climate change mitigation, adaptation, and sustainability transitions. From the optimization of renewable energy infrastructure to the improvement of climate modeling and disaster risk prediction, AI-based tools have shown immense potential for improving environmental decision-making. Nevertheless, the growing use of computationally intensive AI systems also poses environmental, governance, and equity risks that are currently inadequately addressed in climate debates. This chapter explores the double-edged nature of AI as both a climate solution and a potential source of environmental burden through energy consumption, carbon emissions, and infrastructural requirements. The chapter presents an energy-aware responsible AI framework that combines technical efficiency, environmental responsibility, policy alignment, and Global South engagement. By connecting machine learning innovation and sustainability governance, this chapter provides a systematic approach to integrating AI with long-term and equitable climate transitions
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.4018/979-8-2600-2020-3.ch002first seen 2026-06-08 04:36:05 · last seen 2026-06-16 04:40:04
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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。