Harnessing Artificial Intelligence for Climate-Aligned Corporate Sustainability: Integrating ESG Frameworks, CSR Mandates, and SDGs toward a Resilient Low-Carbon Economy
気候変動に対応した企業の持続可能性のための人工知能の活用：ESGフレームワーク、CSR義務、SDGsを統合して強靭な低炭素経済へ (AI 翻訳)
R Jayanthi, Aparna Sellam K M Aparna Sellam K M, Anusha Rajesh Anusha Rajesh
🤖 gxceed AI 要約
日本語
本論文は、AIがESG報告、CSR義務、SDGsを統合することで気候変動に対応した企業の持続可能性を促進する可能性を探る。インドを中心とした新興経済国の政策状況を踏まえ、AIツールによる測定強化、開示の精緻化、サプライチェーン透明性向上を分析する一方、データ標準の断片化やアルゴリズムバイアスなどの障壁も指摘する。
English
This chapter explores how AI can enable climate-aligned corporate sustainability by integrating ESG reporting, CSR mandates, and SDGs, with a focus on emerging economies, particularly India. It analyzes AI's potential to strengthen measurement, sharpen disclosures, and enhance supply chain transparency, while identifying barriers such as fragmented data standards and algorithmic bias.
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
インドの規制環境を主な対象としており、日本のSSBJや有報との直接的な関連は薄いが、新興国におけるESG開示とAI活用の動向を知る上で参考になる。
In the global GX context
Focusing on India's evolving ESG/CSR landscape, this paper adds to the global discussion on AI's role in corporate sustainability disclosure, though it does not directly address established frameworks like TCFD or ISSB.
👥 読者別の含意
🔬研究者:Provides a conceptual framework for AI-ESG integration, useful for further empirical studies in emerging market contexts.
🏢実務担当者:Offers insights into how AI can enhance ESG reporting and supply chain transparency, with caution about data challenges.
🏛政策担当者:Outlines potential AI applications for climate governance, relevant for regulators designing sustainability disclosure mandates in developing economies.
📄 Abstract（原文）
The mounting urgency of climate change has compelled businesses, policymakers, and researchers to look beyond conventional financial metrics when evaluating corporate performance. This chapter investigates how artificial intelligence (AI) can serve as a meaningful enabler of climate-oriented corporate sustainability by facilitating the convergence of Environmental, Social, and Governance (ESG) reporting frameworks, Corporate Social Responsibility (CSR) mandates, and the United Nations Sustainable Development Goals (SDGs). Drawing on the policy landscape of emerging economies—with particular attention to India's evolving regulatory architecture—the chapter examines how AI-powered tools can strengthen sustainability measurement, sharpen ESG disclosures, enhance supply chain transparency, and support evidence-based climate governance. The analysis identifies persistent barriers including fragmented data standards, algorithmic bias, and uneven institutional capacity, while outlining practical pathways for responsible AI deployment aligned with the objectives of the Paris Agreement and the 2030 Agenda for Sustainable Development. The chapter contributes to the growing discourse on AI's role in translating climate commitments into verifiable, accountable, and inclusive corporate action. Keywords: Artificial Intelligence; ESG; Climate Sustainability; CSR; SDGs; Supply Chain Transparency; Climate Governance
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.55041/ijcope.v2i6.039first seen 2026-06-06 04:58:58
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