Artificial Intelligence And Sustainable Finance: A Study on AI-Driven Financial Growth
人工知能とサステナブルファイナンス：AI主導の金融成長に関する研究 (AI 翻訳)
Dr. A. Anandhiprabha
🤖 gxceed AI 要約
日本語
本研究は、銀行、中小企業、大企業、FinTechセクターにおけるAI導入が持続可能な金融成長に与える影響を調査。320組織からのデータを分析し、AIがリスク評価、不正検知、ESGベースの財務管理に広く活用され、財務効率や責任ある投資を向上させる一方、人材不足やデータプライバシー、コスト課題も明らかになった。
English
This study examines AI's impact on sustainable financial growth across banking, MSME, corporate, and FinTech sectors. Analyzing data from 320 organizations, it finds AI widely used in risk assessment, fraud detection, and ESG-based management, improving efficiency and responsible investment, though skill shortages, privacy concerns, and cost barriers persist.
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
日本のGX文脈では、ESG評価やサステナブルファイナンスの実務においてAI活用が進む可能性を示唆するが、本稿は特定の国・制度に焦点を当てておらず、日本の開示制度（SSBJ等）との直接的な関連は薄い。
In the global GX context
While the paper links AI to sustainable finance and ESG, it lacks specificity to climate disclosure frameworks like TCFD or ISSB. It offers a broad view of AI's role in financial sustainability, which may inform discussions on technology-driven ESG integration globally.
👥 読者別の含意
🔬研究者:Provides empirical evidence on AI adoption patterns in sustainable finance, useful for studies on tech-enabled ESG.
🏢実務担当者:Highlights AI applications in ESG financial management and responsible investment, offering insights for corporate sustainability teams.
🏛政策担当者:Identifies AI adoption challenges (skills, privacy, cost) that regulators may address to promote sustainable finance.
📄 Abstract（原文）
Artificial Intelligence (AI) has become a major force in transforming modern financial systems by improving efficiency, decision-making, and sustainability practices. This study examines the impact of AI adoption on sustainable financial growth among organisations in the banking, MSME, corporate, and FinTech sectors. Primary data were collected from 320 organisations using a structured questionnaire, along with secondary data from reports and research publications. Statistical tools such as percentage analysis, mean score analysis, and chi-square tests were used for interpretation. The findings reveal that AI is widely used in areas such as automated risk assessment, fraud detection, financial forecasting, customer analytics, and ESG-based financial management. AI adoption has significantly improved financial efficiency, long-term profitability, financial inclusion, and responsible investment practices aligned with Sustainable Development Goals (SDGs). However, challenges such as shortage of skilled workforce, data privacy concerns, and high implementation costs continue to affect effective AI integration. The study concludes that AI plays a significant role in promoting sustainable and inclusive financial growth and acts as a strategic tool for developing future-ready financial systems.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.22214/ijraset.2026.82591first seen 2026-05-23 05:56:16 · last seen 2026-06-16 05:15:42
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