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 Akanksha Title A name given to the resource Click, Trap, Repeat: Dark Patterns and the Illusion of Choice in the Digital Market 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 Transformations in Global Legal Systems;pp.355-389 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/979-8-3373-7685-1.ch011" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3373-7685-1.ch011</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105040326243?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105040326243?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 Akanksha, Christ University, India Description An account of the resource This chapter will look into how AI has transformed the traditional methods of dark patterns, which are deceptive, manipulative designs used to trick users into decisions that wouldnt have been made if such patterns were not introduced. It will analyse how such patterns use predictive reasonings across e-commerce, social media, and fintech platforms, influencing consumer behavior and their decision-making. The chapter highlights the wide regulatory gap in addressing the manipulations and ethical implications by drawing on global developments from the European Union, the United States, and Asia. The study aims to provide a multidisciplinary understanding of how AI boosts digital deception and to propose a legal framework that safeguards user autonomy, promotes transparency, and ensures accountability in an AI-mediated consumer environment Copyright 2026, IGI Global Scientific Publishing. Copying or distributing in print or electronic forms without written permission of IGI Global Scientific Publishing is prohibited. Use of this chapter to train generative artificial intelligence (AI) technologies is expressly prohibited. The publisher reserves all rights to license its use for generative AI training and machine learning model development. Publisher An entity responsible for making the resource available IGI Global Scientific Publishing Relation A related resource ISBN: 979-833737687-5; 979-833737685-1; 979-833737686-8; 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