Artificial Intelligence in Sustainable Finance: Leveraging Technology for ESG Integration and Long-Term Global Impact

Nayak, Pratiti, Tondon, Bhavya ORCID: https://orcid.org/0009-0001-2882-9473 and Jaswal, Raushan Tara ORCID: https://orcid.org/0000-0002-6695-745X (2026) Artificial Intelligence in Sustainable Finance: Leveraging Technology for ESG Integration and Long-Term Global Impact. In: AI and Automation in Green Investment Platforms: Next-Generation ESG. IGI Global Scientific Publishing, Hershey. pp. 95-124. ISBN 9798337371405 Available at: https://doi.org/10.4018/979-8-3373-7138-2.ch006

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Abstract

The integration of Artificial Intelligence (AI) into sustainable finance would facilitate the transition to the new vision of the world and incorporate the idea of complex interconnection of environmental, social, and governance (ESG) measurements into the institutional decision-making. With the world economy passing through the Age of Industry 5.0 and quitting the last Age of Industry 4.0, AI is a crucial resource in the attainment of the Sustainable Development Goals (SDGs) in data processing and better macroeconomic prediction, automated assessment of credit programs. However, the usefulness of AI applications will be dependent on the capacity to address systematic problems, including data quality, compliance regulations and infrastructure management. The area of such discussion would be the interaction of latent ethical dilemmas that would necessitate the development of new analytical procedures.

Item Type: Book Section
Uncontrolled Keywords: Analytical procedure | Automated assessment | Compliance regulations | Data quality | Decisions makings | Ethical dilemma | Global impacts | Infrastructure managements | Macro-economic predictions | World economy
Subjects: Social Sciences and humanities > Economics, Econometrics and Finance > Banking and Finance
Depositing User: Mr. Syed Anas Ali
Date Deposited: 15 May 2026 06:29
Last Modified: 21 Jul 2026 11:52
Official URL: https://doi.org/10.4018/979-8-3373-7138-2.ch006
URI: https://pure.jgu.edu.in/id/eprint/11322

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