Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Jha, Pratiksha; Tewari, Seema; Garg, Vikas; Azmi, Shujaat Naeem Title A name given to the resource The Convergence of Artificial Intelligence and Sustainable Finance: Transforming the Financial Landscape Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Green Horizons: Role of AI in Sustainable Finance;pp.149-160 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-96-6495-5_8" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-96-6495-5_8</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105024301248?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105024301248?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Jha P., School of Business and Management, Christ University, Bengaluru, India; Tewari S., School of Law, Christ University, Bengaluru, India; Garg V., Symbiosis Institute of Management Noida, Symbiosis International (Deemed University), Noida, India; Azmi S.N., Department of Economics, Ala-Too International University, Bishkek, Kyrgyzstan Description An account of the resource This chapter examines the transformative impact of Artificial Intelligence (AI) on sustainable finance by emphasizing environmental, social, and governance (ESG) investment choices. This chapter utilized the literature review method to analyse diverse AI models, such as machine learning, natural language processing, and predictive analytics, concerning data analysis, risk modelling, and sustainable product development in the financial industry. Additionally, the study presents a use case of the AI-implemented model in the ESG ratings, which assesses environmental consequences and evaluates investment sustainability. The research also recognized possible challenges and ethical issues in the application of AI in the sustainable investing domain. These challenges highlight the necessity for a comprehensive governance framework and the appropriate implementation of AI. The study contributes to the literature by providing insights into technology advancements and proposing solutions to address sustainable finance requirements. 2025 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Subject The topic of the resource Artificial intelligence; ESG (Environmental social and governance); Impact investing; Innovation; Sustainable finance Publisher An entity responsible for making the resource available Springer Science+Business Media Relation A related resource ISBN: 978-981966495-5; 978-981966494-8; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online