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 Bansal, Prakul; Bansal, Reenu Title A name given to the resource The Transparency Paradox: Rebuilding Trust in AI Shopping Agents Through Explainability 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 Reshaping E-Commerce Through AI Shopping Agents;pp.375-406 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/979-8-3373-7330-0.ch013" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3373-7330-0.ch013</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105039724506?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105039724506?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 Bansal P., Christ University, India; Bansal R., Christ University, India Description An account of the resource AI shopping agent systems that search, compare, negotiate, and purchase on a consumers behalf promise to reduce friction in digital commerce, but they also intensify long-standing concerns about price discrimination, manipulative choice architecture, and opaque data use. This chapter argues that the resulting transparency paradox is not merely a communication problem: the same AI capabilities that enable personalization can also conceal and optimize exploitation. Building on research in trust, explainable artificial intelligence, humanAI interaction, and consumer protection, the chapter develops a socio-technical approach to rebuilding trust in agentic commerce. It synthesizes regulatory and standards developments and proposes design and governance mechanisms layered explanations, contestable outcomes, auditability, and choice-integrity controls intended to make AI shopping agents intelligible and accountable across jurisdictions and market contexts. Copyright 2026, IGI Global Scientific Publishing. Publisher An entity responsible for making the resource available IGI Global Scientific Publishing Relation A related resource ISBN: 979-833737332-4; 979-833737330-0; 979-833737331-7; 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