AI-Driven Decision Support Systems for ESG Reporting and Education
ESG報告と教育のためのAI駆動意思決定支援システム (AI 翻訳)
Mrs. Awantika Deshpande, Mr. Kiran More
🤖 gxceed AI 要約
日本語
本論文は、ESG報告の知識と一貫性を向上させるためのAI駆動教育システムを提案。NLP、機械学習、知識グラフを用いて、フレームワーク分析、適応的学習、リアルタイム報告支援を実現する。説明可能なAIによるフィードバックとギャップ分析により、報告の透明性と精度を高める。
English
This paper proposes an AI-driven education system to enhance ESG reporting knowledge and consistency. It integrates NLP, machine learning, and knowledge graphs for framework analysis, adaptive learning, and real-time reporting assistance. Explainable AI feedback and gap analysis improve transparency and accuracy.
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SSBJ基準の策定が進み、企業のESG開示能力向上が急務。本システムは中小企業を含む国内組織の開示スキル底上げに貢献できる。
In the global GX context
Globally, ESG standards like ISSB and CSRD demand consistent reporting. This AI system addresses the competency gap, supporting practitioners in meeting diverse frameworks and improving disclosure quality.
👥 読者別の含意
🔬研究者:A novel integration of AI for ESG education and reporting, offering a framework for further empirical validation.
🏢実務担当者:Practical tool to enhance ESG reporting skills and automate gap analysis against multiple standards.
🏛政策担当者:Highlights the role of AI in scaling ESG competency, relevant for national disclosure infrastructure strategies.
📄 Abstract（原文）
Environmental, Social, and Governance (ESG) reporting has become a critical component of corporate sustainability, governing compliance, and stakeholder decision-making. However, ESG education and reporting practices face challenges such as fragmented standards, data complexity, inconsistent disclosure quality, and limited expertise across organizations. This paper proposes an AI-driven education system designed to enhance ESG reporting knowledge, skills, and consistency through intelligent learning and decision-support mechanisms. The system integrates natural language processing, machine learning, and knowledge-graph technologies to analyze ESG frameworks, regulatory guidelines, and corporate disclosures, providing adaptive educational content and real-time reporting assistance. By offering personalized learning pathways, automated gap analysis, and explainable AI-based feedback, the platform supports learners and practitioners in understanding ESG concepts, aligning reports with global standards, and improving transparency and accuracy. The proposed approach aims to reduce reporting inconsistencies, accelerate ESG competency development, and support sustainable decision-making while positioning AI as an assistive tool that complements human judgment and ethical oversight in ESG practices.
🔗 Provenance — このレコードを発見したソース
- openaire https://doi.org/10.5281/zenodo.19399089first seen 2026-06-11 05:09:57
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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。