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 Article Faculty Publications -Articles 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 Hema, K. Title A name given to the resource AI and data-driven digital platforms: the case for establishing global minimum standards in competition law 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 International Review of Law, Computers and Technology; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1080/13600869.2025.2602114" target="_blank" rel="noreferrer noopener">https://doi.org/10.1080/13600869.2025.2602114</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105024818808?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105024818808?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 Hema K., School of Law, Christ University, Bangalore, India Description An account of the resource AI and data-driven platforms have the potential to enable foreclosures, exclusionary and exploitative practices, resulting in the distortion of competition in the digital markets. The inherent conundrum of boundary-less AI and data-driven systems and territorial application of competition laws has created problems in cross-border digital markets. Countries have adopted divergent approaches in enforcing competition law, with some following the per se rule to categorically prohibit MFN clauses and others employing the rule of reason, assessing the anti-competitiveness of such agreements based on effects. Moreover, the countries have adopted either ex-post or ex-ante or a combination of both to regulate digital markets, deepening the divergence in competition, allowing AI and data-driven practices to enable regulatory arbitrage. To establish divergences in regulating the digital markets, the research adopts a comparative approach, analysing the competition law statutes and case laws across jurisdictions. Although competition laws must duly account for domestic market conditions, bringing harmonisation in their enforcement across jurisdictions remains imperative. Adopting a global minimum standard for competition law is a necessary step towards bringing consistency in the application of the competition laws across countries and equipping the competition law enforcement body to confront AI and data-driven market distortions in cross-border digital platforms. 2025 Informa UK Limited, trading as Taylor &amp; Francis Group. Subject The topic of the resource data-driven systems; global minimum standard; Self-preferencing Publisher An entity responsible for making the resource available Routledge Relation A related resource ISSN: 13600869; Language A language of the resource English Type The nature or genre of the resource Article 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