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; Sanskriti, Sanskriti; Sinha, Amit Kishore Title A name given to the resource Equity by Design: Embedding DEI Into AI- Enhanced Marketing Tools 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-Driven Decision-Making for Diversity, Equity, and Inclusion in Marketing;pp.239-259 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/979-8-3373-6731-6.ch009" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3373-6731-6.ch009</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105033220079?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105033220079?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., Faculty School of Business and Commerce, Chandigarh University, Lucknow, Unnao, India; Sanskriti S., Christ University, Bangalore, India; Sinha A.K., Chandigarh University, Uttar Pradesh, Unnao, India Description An account of the resource In a time when artificial intelligence redefines marketing practice pillars, the concern is not innovation but conscience- driven innovation. While AI tools promise unmatched precision in reaching customers, segmenting, and budgeting, they carry a silent danger of deepening existing disparities, if they were to be unleashed without caution. This article advocates for the practice of Equity by Design, and it insists that Diversity, Equity, and Inclusion (DEI) must be made a part of the actual design of AI- driven marketing systems. By borrowing cross- disciplinary insights from finance, organizational ethics, and digital strategy, the case is argued through illustrations of how equitable design cuts down on algorithmic bias, expands financial service access to marginalized communities, and enhances consumer trust in a more data- driven market. Beyond compliance or corporate social responsibility, embedding DEI in AI is a competitive strategy, attaching ethical obligation to long- term brand worth, sustainable growth, and global competitiveness in the digital economy. 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: 979-833736733-0; 979-833736731-6; 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