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 Padmaja, V.; Bhanumathi, P.; Patangia, Bishal Title A name given to the resource Equity and inclusion in GenAI innovation: Exploring the challenges and strategies for ensuring equitable access to and benefits from GenAI-driven 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 The Generative AI Impact: Reframing Innovation in Society 5.0;pp.181-198 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1108/978-1-83549-105-820251010" target="_blank" rel="noreferrer noopener">https://doi.org/10.1108/978-1-83549-105-820251010</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105014307514?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105014307514?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 Padmaja V., M.S. Ramaiah Institute of Management, India; Bhanumathi P., M.S. Ramaiah Institute of Management, India; Patangia B., Christ University, India Description An account of the resource This chapter examines the critical need for equity and inclusion in the development and deployment of Generative Artificial Intelligence (GenAI) technologies. As GenAI rapidly transforms various sectors, from health care to education, its benefits are not evenly distributed, risking the exacerbation of existing social inequalities leading to a huge digital divide. The chapter explores theoretical frameworks like critical race theory (CRT) and intersectionality to understand how biases embedded in AI systems can perpetuate discrimination. It also highlights the role of open-source platforms and emerging AI initiatives in the Global South in democratizing access to these technologies. Through case studies of companies like Procter &amp; Gamble and Microsoft, the chapter demonstrates both the potential of GenAI to drive innovation and the challenges of integrating AI ethically into global operations. The discussion underscores the importance of deliberate, inclusive strategies to ensure that AI serves as a force for social good, fostering global equity rather than deepening divides. 2025 V. Padmaja, P. Bhanumathi and Bishal Patangia. All rights reserved. Subject The topic of the resource AI bias; Digital divide; Discrimination; Equity; Generative AI; Inclusion Publisher An entity responsible for making the resource available Emerald Group Publishing Ltd. Relation A related resource ISBN: 978-183549105-8; 978-183549106-5; 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