AI-Driven Carbon Footprint & ESG Reporting Platform
AI駆動のカーボンフットプリントおよびESG報告プラットフォーム (AI 翻訳)
N. Giridharan, Dhayanithi V, S. S, S. K
🤖 gxceed AI 要約
日本語
本論文は、複数の組織データ（エネルギー消費、従業員通勤、サプライチェーン等）を統合し、AIによる自動検証と推定でカーボンフットプリントとESG報告を実現するプラットフォームを提案。評価では従来手法より高精度で一貫性のある推定を確認し、ダッシュボードと予測分析により戦略的意思決定を支援する。
English
This paper presents an AI-based platform that integrates diverse organizational data (energy, commuting, supply chain) to automate carbon footprint measurement and ESG reporting. Using AI for validation and estimation, it achieves higher reliability and consistency compared to manual methods, and provides dashboards and predictive analytics for strategic decisions.
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SSBJ基準や有報でのESG開示要求が強化される中、本プラットフォームは自動化により効率的な対応を可能にする実用的なツールとして注目される。
In the global GX context
This platform directly supports global disclosure frameworks (TCFD, ISSB, CSRD) by automating data integration, validation, and emission estimation, enhancing transparency and compliance for organizations worldwide.
👥 読者別の含意
🔬研究者:This paper offers a system architecture and evaluation of AI methods for carbon accounting, useful for researchers in sustainability informatics.
🏢実務担当者:Corporate sustainability teams can adopt this platform to streamline data collection, improve emission estimates, and generate compliant ESG reports.
🏛政策担当者:Policymakers may consider the platform's capabilities as a reference for voluntary or mandatory disclosure standards.
📄 Abstract（原文）
Sustainability has become a strategic priority for contemporary organizations, with carbon footprint measurement and Environmental, Social, and Governance (ESG) reporting playing a crucial role in achieving climate and regulatory objectives. However, conventional sustainability assessment approaches rely heavily on manual data collection, fragmented systems, and incomplete records, which limit accuracy and scalability. This paper presents an AI-based Carbon Footprint and ESG Reporting Platform that integrates data from multiple organizational sources, including energy consumption, employee commuting, supply chain activities, and project-level resource utilization, to generate a unified and comprehensive sustainability profile. The proposed platform applies artificial intelligence techniques for automated data validation, intelligent gap filling, and accurate estimation of direct, indirect, and supply chain emissions using standardized emission factors. Quantitative evaluation demonstrates improved estimation reliability and reduced data inconsistency when compared with traditional reporting methods. Additionally, sustainability scoring mechanisms, interactive dashboards, and predictive analytics provide actionable insights to support long-term strategic decision-making. By enabling real-time data integration and AI-driven analysis, the platform enhances transparency, operational efficiency, and compliance with global sustainability frameworks, thereby supporting organizations in achieving measurable emission reduction and responsible sustainability management.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.1109/icauc68182.2026.11441120first seen 2026-05-05 22:13:49
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。