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 Kumar, Santosh; Gupta, Neha; Gorani, Swarnima Title A name given to the resource Policy Landscape and Incentives on AIPowered Green Finance Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2026 Source A related resource from which the described resource is derived AI Governance, Law, Policy and Ethics in Green Finance and ESG;pp.185-208 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/979-8-2600-1308-3.ch011" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-2600-1308-3.ch011</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105037300994?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105037300994?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 Kumar S., Sharda University, India; Gupta N., Christ University, Bengaluru, India; Gorani S., Sharda University, India Description An account of the resource The application of AI in green finance has enormous potential to tackle climate change, but its effect would be determined by the strength and integrity of governance mechanisms as well as well- designed incentives. Good policy serves to set the bar but also incentives and responsible use in finance in AI applications. In the absence of such governance, exposures including algorithmic discrimination, data mining and unequal access to technology are likely to compound rather than advance social goals. Thus, AI governance has become a priority for governments, financial regulators and multilateral organisations. Policy frameworks achieve two parallel goals: on the one hand they provide boundaries to invest in technology and at the same time these very policy mechanisms direct capital towards environmentally friendly investment through incentives like tax benefits, financial grants, green debts etc. 2026 by IGI Global Scientific Publishing. Publisher An entity responsible for making the resource available IGI Global Relation A related resource ISBN: 979-826001310-6; 979-826001308-3; 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