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 Solanki, Shashank Title A name given to the resource Algorithms Against Manipulation: Safeguarding Consumer Rights in AI Shopping 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.127-159 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/979-8-3373-7330-0.ch005" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3373-7330-0.ch005</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105039722151?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105039722151?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 Solanki S., Christ University, India Description An account of the resource The growing use of AI driven shopping agents has transformed digital commerce through enhanced personalization, while simultaneously enabling new forms of consumer manipulation, including dark patterns, algorithmic price discrimination, and subscription traps. This chapter critically examines whether existing regulatory frameworks particularly the GDPR, the EUAI Act, and Indias Digital Personal Data Protection Act, 2023 are adequate to address persuasive algorithmic practices. It argues that prevailing consent based regulatory models are structurally ill-equipped to counter real-time and adaptive AI driven manipulation. Drawing on regulatory gaps and contemporary case studies, the chapter advances the normative proposal of classifying advanced AI shopping agents as information fiduciaries. Such a framework would impose enforceable duties of loyalty and care toward consumers, moving beyond notice-and-consent paradigms and strengthening consumer protection in AI-mediated digital marketplaces. 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