Legal Framework Concerning AI and Automation in Green Investment Strategies for ESG
ESGのグリーン投資戦略におけるAIと自動化の法的枠組み (AI 翻訳)
Pooja, Saurabh Chandra, Swarnima Gorani, Suparna Kundu, Pradeep Kumar Kulshrestha
🤖 gxceed AI 要約
日本語
本論文は、ESG投資におけるAIと自動化の法的枠組みを分析。データ精度、アルゴリズムの公平性、開示義務の必要性を強調し、グリーンウォッシュ対策の課題を論じる。
English
This paper examines the legal framework for AI and automation in ESG green investment strategies. It highlights challenges of transparency, data accuracy, and greenwashing, advocating for clear regulatory guidelines.
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
日本でもESG情報のAI活用が進む中、グリーンウォッシュ防止と法的枠組みの重要性を指摘。日本版スチュワードシップコードやSSBJ基準にも示唆。
In the global GX context
Globally, as AI-driven ESG assessments grow, this paper underscores the legal gaps in transparency and greenwashing prevention. It aligns with ISSB and CSRD demands for data accuracy.
👥 読者別の含意
🔬研究者:Provides a comprehensive overview of legal challenges for AI in ESG, useful for law and sustainability scholars.
🏢実務担当者:Compliance and sustainability teams can use insights on disclosure obligations and data accuracy requirements.
🏛政策担当者:Regulators should note the need for clear rules on AI in green finance to prevent greenwashing and ensure transparency.
📄 Abstract（原文）
The legal parameters for artificial intelligence and automation in investment environmental, social and governance (ESG) standards are transforming as nations, companies and investors seek to maintain innovation and accountability. AI and automation are increasingly used to evaluate sustainability data, predict climate change risks and guide responsible investment strategies. But without clear rules or ethical norms there will be great difficulties in building transparency and morale into green finance. Legally green investments are covered by a patchwork of environmental and financial laws that look to ensure funds are part of genuinely sustainable development rather than simply a matter “greenwashing.” As AI systems come to oversee such functions as portfolio analysis, impact measurement and carbon emissions accounting, it becomes all the more imperative to lay down clear legal prescriptions for data accuracy, fair algorithms and disclosure obligations on investors.
🔗 Provenance — このレコードを発見したソース
- crossref https://doi.org/10.4018/979-8-2600-1308-3.ch012first seen 2026-05-14 23:53:43
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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。