アフリカにおける気候変動と食料安全保障：持続可能な農業転換のための責任あるAIの活用
Climate Change and Food Security in Africa: Harnessing Responsible AI for Sustainable Agricultural Transformation (原題)
Izuchukwu Prince Adamaagashi
🤖 gxceed AI 要約
日本語
本論文は、気候変動と食料不安というアフリカの二大課題に対し、AIが気候適応・農業レジリエンス・食料システムガバナンスにどう貢献しうるかを、25本の文献の質的内容分析と批判的統合により検討する。AI気象予測や精密農業などの革新が進む一方、データ基盤の脆弱性、農村のデジタル能力不足、倫理・データ所有権・公平なアクセスに関するガバナンスの空白が残ると指摘。国家適応計画とAI導入の戦略的整合、官民連携、AI対応インフラ投資、文脈に即した倫理的ガバナンスの必要性を訴える。
English
This qualitative synthesis of 25 sources examines how AI can support climate-resilient agriculture and food security in Africa. It finds growing innovations—AI weather forecasting, early warning, precision agriculture, supply-chain optimization—but persistent gaps in data infrastructure, rural digital capacity, and ethical/data-ownership governance. It argues for aligning AI deployment with national adaptation plans, public-private partnerships, and context-sensitive governance frameworks.
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
日本企業にとって直接の開示規制論点は薄いが、アフリカの適応計画とAIガバナンスの動向は、グローバルサプライチェーン（農業・食品調達）の気候リスク評価や、途上国向け気候ファイナンス・技術移転の文脈で参考になる。SSBJ/TCFDの適応・物理的リスク開示を検討する日本企業の周辺情報として位置づけられる。
In the global GX context
While not a disclosure-framework paper, it speaks to the adaptation and physical-risk side of TCFD/ISSB and to climate finance for the Global South. It adds a governance-and-equity lens—data ownership, ethical AI, equitable access—that is largely absent from mainstream corporate climate-disclosure scholarship, useful for CSRD/ISSB discussions on just transition and supply-chain resilience.
👥 読者別の含意
🔬研究者:AI×気候適応・食料安全保障の研究動向と、アフリカ文脈のガバナンス空白を整理する出発点として有用。
🏢実務担当者:アフリカの農業・食品サプライチェーンに調達を持つ企業は、気候適応リスクと現地AIガバナンス動向の把握に活用できる。
🏛政策担当者:途上国の国家適応計画とAI導入を整合させる際の、インフラ投資・官民連携・倫理ガバナンス設計の論点を提供する。
📄 Abstract（原文）
Africa stands at the crossroads of two defining 21st-century challenges: climate change and food insecurity. The continents agricultural systems are increasingly disrupted by rising temperatures, erratic rainfall, and extreme weather events, exacerbating hunger, poverty, and rural vulnerability. At the same time, Artificial Intelligence (AI) presents transformative potential to support climate adaptation, improve agricultural resilience, and enhance food systems governance across Africa. This study undertakes a qualitative content analysis and critical synthesis of 25 peer-reviewed articles, institutional reports, and working papers to examine how AI is currently applied and could be more effectively leveraged for climate-resilient agriculture and food security on the continent. Findings reveal a growing body of innovations, from AIdriven weather forecasting and early warning systems to precision agriculture and supply chain optimization. Yet the study identifies persistent structural limitations, including unreliable data infrastructure, low digital capacity in rural areas, and governance gaps around ethical deployment, data ownership, and equitable access. Through African case studies, the paper explores how localized AI solutions when supported by inclusive policies, multi-stakeholder collaboration, and responsible innovation frameworks can mitigate climate-induced food shocks and drive sustainable development. The paper argues for a strategic alignment between AI deployment and national adaptation plans, emphasizing the need for stronger public-private partnerships, investments in AI-ready infrastructure, and the development of ethical and contextsensitive governance mechanisms. In doing so, it offers a roadmap for policymakers, development agencies, and researchers seeking to harness AI not just as a technological tool, but as a catalyst for systemic transformation in African food systems in the era of climate change.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.56201/ijaes.vol.11.no9.2025.pg79.102first seen 2026-10-05 05:18:18
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