THE END OF GREENWASHING: HOW AI AND SATELLITE MULTISPECTRAL IMAGING ARE REVOLUTIONIZING ESG AUDITING

Authors

  • Kholmukhammedov Abdulaziz
  • Avazbekova Jasmina Faculty of Business Management Turin Polytechnic University in Tashkent, Tashkent

Keywords:

Algorithmic ESG, Greenwashing Detection, Geospatial AI (GeoAI), NLP in Finance, Multi-spectral Imaging, Asset Materiality.

Abstract

The rapid expansion of corporate sustainability reporting has increased transparency requirements while raising concerns about greenwashing—the practice of making misleading environmental claims. Traditional ESG auditing, often termed "ESG 1.0," relies on lagged, self-reported data that is prone to selective disclosure. This article introduces the ESG 2.0 paradigm, where Artificial Intelligence (AI) acts as an independent auditor. By fusing Natural Language Processing (NLP) and Geospatial Intelligence, stakeholders can now quantify "The Credibility Gap" between corporate narratives and physical reality.

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Published

2026-04-16

Issue

Section

Articles

How to Cite

THE END OF GREENWASHING: HOW AI AND SATELLITE MULTISPECTRAL IMAGING ARE REVOLUTIONIZING ESG AUDITING. (2026). Web of Technology: Multidimensional Research Journal, 4(4), 14-18. https://mail.webofjournals.com/index.php/4/article/view/6242