The Global Challenge of Climate Change and how AI might be Applied to Tackle this Challenge
気候変動の地球規模の課題とその課題に取り組むためのAIの応用可能性 (AI 翻訳)
Akhil Shaikh
🤖 gxceed AI 要約
日本語
本論文は、気候変動対策におけるAIの応用可能性を包括的にレビューする。農業用温室を事例に、IoT、衛星データ、AIアルゴリズムを統合したBPMNフレームワークを提案し、リアルタイムモニタリングや政策立案支援を目指す。公平性・透明性などの倫理的課題にも言及し、エネルギー消費増加やデータ不足などの課題を指摘する。
English
This review explores AI applications for climate change mitigation and adaptation, using agricultural greenhouses as a case study. A BPMN framework integrating IoT, satellite data, and AI algorithms is proposed for real-time monitoring, decision support, and policy engagement. Ethical considerations (fairness, transparency) and challenges (energy consumption, data scarcity) are discussed, along with research gaps in energy trends and public perception.
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、GX推進にAI活用が注目されつつある。本論文は温室農業に焦点を当てるが、日本企業のサプライチェーン排出量可視化やエネルギー最適化にも応用可能な知見を含む。ただし、具体的な日本ケーススタディはなく、国内実装にはさらなる検討が必要。
In the global GX context
This paper contributes to the global discourse on AI for climate action by providing a broad framework that integrates IoT and AI for real-time monitoring. It addresses ethical and practical challenges relevant to corporate sustainability teams exploring AI-driven decarbonization. However, it lacks specific policy or industry case studies, limiting direct applicability.
👥 読者別の含意
🔬研究者:Identifies research gaps in AI for energy trends and public perception, offering directions for future work.
🏢実務担当者:Provides a conceptual BPMN framework that could inform AI-based monitoring systems for emissions or resource optimization.
🏛政策担当者:Highlights the need for ethical guidelines and inclusive access when deploying AI for climate policy.
📄 Abstract（原文）
Climate change represents one of the most urgent global crises, characterised by rising temperatures, extreme weather events, and ecosystem degradation. This paper explores the application of artificial intelligence (AI) to mitigate and adapt to climate change, focusing on agricultural greenhouses as a representative problem domain. The study presents a Business Process Model and Notation (BPMN) framework that integrates Internet of Things (IoT) devices, satellite data, and AI algorithms for real-time climate monitoring, data analysis, decision support, and policy engagement. Ethical considerations—fairness, accountability, transparency, and environmental sustainability—are critically examined to ensure the responsible deployment of AI. The paper reviews current AI applications across energy systems, precision agriculture, carbon capture, urban planning, and climate policy, highlighting benefits such as reduced energy waste, optimised resource allocation, and evidence-based policymaking. Challenges, including high energy consumption of AI models, data scarcity, and equity concerns, are discussed. The analysis reveals research gaps where fewer AI methods are applied, particularly in energy trends and public perception studies. Ultimately, responsible AI implementation—guided by ethical principles and inclusive access—offers transformative potential to advance climate action while minimising its own environmental footprint.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.36348/gajab.2026.v08i02.003first seen 2026-05-05 19:14:02
🔔 こうした論文の新着を逃したくない方は キーワードアラート に登録（無料・3キーワードまで）。
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。