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 Grover, Diya; Sangal, Surabhi; Shabir, Suheela Shabir Title A name given to the resource Leveraging Generative AI to Address Behavioral Biases in the Investment Decisions of Gen Z and Millennials 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 Generative AI Insights for Financial Decision Making;pp.361-385 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/979-8-3373-1250-7.ch014" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3373-1250-7.ch014</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105015502412?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105015502412?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 Grover D., Christ University, India; Sangal S., Christ University, India; Shabir S.S., Princess Noura Bint Abdulrahman University, Riyadh, Saudi Arabia Description An account of the resource GAI alters financial decision-making behavior through advanced data analytics, trend prediction, and personal recommendation. Generation Z and the Millennials are more susceptible to behavioral biases like herd mentality, loss aversion, overconfidence, and fear. Such tendencies make people prone to frequently exhibiting instinctive or irrational investment behaviors, thus severely impacting their long-term financial outcome. In the context of this book, the relationship between behavioral finance and GAI is discussed with the benefits of enhancing investment literacy and in guiding the younger investor towards data-driven decisions. Other areas on data quality and transparency, ethical concerns, and regulatory compliance are discussed. Hence, this can result in intelligent and rational investment decisions. The subsequent section explains how GAI successfully eliminates the effects of cognitive biases through an enhancement of the capabilities concerning decision-making in respect of financial choices related to Generation Z and millennials under the everchanging finance landscape. 2026, IGI Global Scientific Publishing. All rights reserved. Publisher An entity responsible for making the resource available IGI Global Relation A related resource ISBN: 979-833731252-1; 979-833731250-7; 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