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 Irfan, Mohammad; Bhute, Nupoor Sanjay; Yadav, Ajay Kumar; Dias, Rui Title A name given to the resource Sustainable investment portfolios with Al: Bridging green finance and technological innovation 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 Legal and Regulatory Considerations of Leveraging Sustainable Finance;pp.235-256 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/979-8-3373-0350-5.ch009" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3373-0350-5.ch009</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105012656009?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105012656009?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 Irfan M., Chandigarh University, Unnao, India; Bhute N.S., Christ University, Bengaluru, India; Yadav A.K., Chandigarh University, Unnao, India; Dias R., Instituto Politnico de Setal, Portugal Description An account of the resource This research examines the transformative role of artificial intelligence in advancing green finance by enhancing sustainable portfolio management practices. Through Al-driven data analysis, investors are empowered to prioritize environmentally responsible assets, such as green bonds and renewable energy funds, aligning their portfolios with climate-positive goals. Al algorithms play a critical role in forecasting environmental risks, aligning investments with ESG (Environmental, Social, and Governance) standards, and fostering ethical finance trends. This study explores a range of Al fools that enhance decision-making in green finance, assessing their strengths, limitations, and the societal benefits they can unlock. By aligning Al innovation with green finance objectives, this research advocates for a financial ecosystem that supports global sustainability and ethics. 2026 by IGI Global Scientific Publishing. All rights reserved. Publisher An entity responsible for making the resource available IGI Global Relation A related resource ISBN: 979-833730352-9; 979-833730350-5; 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