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 Mazumder, Paramita; Malik, Khushboo Title A name given to the resource Generative Artificial Intelligence and Academic Integrity: Transforming Authorship and Research Standards 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 Overdependence on AI in Academia;pp.179-208 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/979-8-3373-7097-2.ch007" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3373-7097-2.ch007</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105037563129?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105037563129?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 Mazumder P., Christ (Deemed to be) University, Delhi NCR, India; Malik K., Christ (Deemed to be) University, Delhi NCR, India Description An account of the resource Generative AI (GAI) is fundamentally altering the academic authorship and research ethics landscape by sourcing multiple long-held beliefs of originality, intellectual labor, and academic accountability. The rise of tools such as ChatGPT, Gemini, and Claude in the writing, analysis, and creation of knowledge creates an urgent need for Higher Education to redefine the meaning of ethical authorship. This paper seeks to examine how Generative AI has changed many of the long-standing academic traditions, highlighting dependence on technology and analyze the inconsistencies in the AI Policies at institutions of higher education worldwide. By utilizing qualitative and normative methods from deontological and virtue ethics, this study compares the policies of Harvard University and University of Cambridge and highlights the best practices for responsible use and integration of AI technologies. The chapter will also propose a human-centered, accountable, and transparent AI collaboration model that protects academic integrity while supporting continued technological advancement 2026 IGI Global Scientific Publishing. Publisher An entity responsible for making the resource available IGI Global Relation A related resource ISBN: 979-833737099-6; 979-833737097-2; 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