The Role of Technology, AI, ML and DLT in Sustainable Finance and a Green Economy
持続可能な金融とグリーン経済におけるテクノロジー、AI、ML、DLTの役割 (AI 翻訳)
(著者不明)
🤖 gxceed AI 要約
日本語
本研究は、AI、ML、DLTなどの新技術が持続可能な金融とグリーン経済への移行をどのように支援できるかを文献レビューと専門家インタビューにより探求。これらの技術がリスク管理の改善、透明性の向上、意思決定の効率化に貢献し、ESG考慮事項を投資計画に組み込むことを容易にすることを示唆。実務的には、ソフトウェア開発者、金融機関、政策立案者に持続可能な開発の促進に向けた示唆を提供。
English
This study explores how AI, ML, and DLT can support sustainable finance and the transition to a green economy through literature review and expert interviews. It finds that these technologies improve risk management, transparency, and decision-making, facilitating the integration of ESG considerations into investment plans. Practical implications are provided for software developers, financial institutions, and policymakers to promote sustainable development.
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実現に向けてAI・デジタル技術の活用が注目されており、本稿は金融分野での応用可能性を示す点で参考になる。ただし、具体的な日本市場への適用や規制との関連性は薄い。
In the global GX context
Globally, the intersection of AI/ML/DLT with sustainable finance is a growing area of interest, aligning with initiatives like the EU's Digital Finance Strategy and the use of technology for ESG data processing. This paper provides a broad overview but lacks empirical depth or specific case studies.
👥 読者別の含意
🔬研究者:Provides a broad literature overview on AI/ML/DLT in sustainable finance, useful for identifying research gaps.
🏢実務担当者:Highlights potential applications of AI/ML/DLT for ESG integration and risk management in financial institutions.
🏛政策担当者:Offers insights into how technology can support green finance policies, but lacks specific regulatory recommendations.
📄 Abstract（原文）
Purpose: The purpose of this research is to explore how new technologies, such as DLT (distributed ledger technology), ML (machine learning) and AI (artificial intelligence), can support green economic growth and sustainable finance. Need for the study: Awareness of environmental challenges highlights the importance of using technology to support and promote sustainable financial practices. Therefore, this study, among other things, aims to explore this importance by analysing how AI, ML and DLT can contribute to continuously improving innovation and efficiency in various sustainable finance projects. Methodology: This study uses a literature review technique to examine technology use, sustainable finance, and the transition to a sustainable economy. To achieve this goal, qualitative interviews were conducted with professionals in the fields of sustainability, technology and finance to explore different practices and identify different strategies for developing the future of the finance industry. Findings: Based on the findings of previous studies, AI, ML and DLT play an important role in improving risk management, increasing transparency and simplifying procedures that serve to make decisions in the sustainable finance sector. The transformation to a green and sustainable economy can be more straightforward if it relies on the ability of these important technologies to incorporate some ESG (environmental, social and governance) considerations into organisations’ plans for potential investments. Practical implications: The study's findings will help software developers, financial institutions and policymakers promote and strengthen sustainable development. Furthermore, the use of technology, especially advances in AI, ML and DLT, offers various valuable perspectives for those engaged in the transition to more environmentally friendly financial practices, contributing to creating a more sustainable global economy.
🔗 Provenance — このレコードを発見したソース
- openaire https://doi.org/10.1108/978-1-83608-462-420251004first seen 2026-05-05 19:06:52
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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。