人工知能・気候ガバナンス・環境正義：英国とアフリカの比較的視座
Artificial Intelligence, Climate Governance, and Environmental Justice: Comparative Perspectives from the United Kingdom and Africa (原題)
ISHOLA Akinwale Victor, ANYA Anya Adebayo, ANYA kelechi Adura, Eke Kehinde Anya
🤖 gxceed AI 要約
日本語
本論文は、AIが気候ガバナンスに組み込まれる際の環境正義への影響を、英国とアフリカの比較事例で分析する。英国は政策統合と制度基盤が比較的整う一方、アフリカはインフラ・資金・ガバナンス分断に制約される。AIは中立ではなく既存の構造的不平等を強化しうると論じ、能力と正義を踏まえた包摂的ガバナンスの必要性を提起する。
English
This paper compares how AI is integrated into climate governance in the UK and Africa and its implications for environmental justice. The UK shows relatively integrated policy and institutional capacity, while many African contexts face infrastructure, funding, and governance fragmentation. The authors argue AI is not neutral but reinforces existing structural inequalities, calling for capacity- and justice-aware governance.
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活用とGX推進が並行するが、本稿は「AI導入が地域間・主体間の格差を拡大しうる」点を警告し、SSBJ開示や公正な移行（just transition）議論に示唆を与える。データ基盤・人材・制度調整の非対称性を踏まえた国内ガバナンス設計の参考になる。
In the global GX context
Globally, as ISSB/TCFD-aligned disclosure and AI-driven climate analytics expand, this paper foregrounds equity and capacity gaps that disclosure frameworks rarely address. It adds a justice lens to the AI-for-climate agenda, relevant to CSRD/ISSB debates on data access and just transition in both developed and developing markets.
👥 読者別の含意
🔬研究者:AI×気候ガバナンスの公平性・能力格差を扱う比較政策研究の枠組みとして参照できる。
🏢実務担当者:AI気候ツール導入時に、データ・人材・地域格差によるリスクと公正性配慮を検討する材料になる。
🏛政策担当者:AI活用の気候政策設計で、能力構築と環境正義を組み込む必要性を示す。
📄 Abstract（原文）
Abstract This paper examines the recent role of artificial intelligence (AI) in climate governance and its impacts on environmental justice with the United Kingdom and Africa as a comparative case study. As AI is increasingly incorporated into environmental monitoring and climate modelling, and into decision-making, it is often viewed as a means of making climate mitigation and adaptation more efficient. Nevertheless, it is implemented in uneven global conditions under the influence of variations in technological capacities, availability of data, and institutional coordination. This poses critical questions regarding the distribution of the benefits and impacts of AI-led climate governance across regions. The paper uses a qualitative and comparative approach to analyse the policy integration strategies, governance structures and capacity conditions that affect the application of AI in both situations. The findings suggest that the United Kingdom has a comparatively well-integrated policy frameworks and institutional settings, which can enable data-driven solutions to climate governance, but many African settings are limited by infrastructure, funding, and fragmentation of governance. These gaps characterize the extent to which AI can be optimally utilized in addressing climate problems. This article posits that AI is not a neutral technology, but it is an element of existing structural conditions, which impact access, use, and outcomes. Its inclusion within climate governance can, therefore, solidify existing inequalities in the environmental risk, adaptive capacity and participation. The paper concludes that the interaction of AI and climate governance cannot be analyzed without addressing larger issues of capacity and justice, particularly in the form of offering emerging technologies to improve more inclusive and equitable environmental outcomes. Keywords: Artificial Intelligence, Climate Governance, and Environmental Justice
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.5281/zenodo.22055998first seen 2026-09-11 04:57:38 · last seen 2026-09-11 04:57:50
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