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 Taneja, Devanshi; Prabagaren, Harivarshini; Thomas, Mary Rani Title A name given to the resource AI in academia: Balancing integrity, ethics, and learning amid evolving norms of authorship and scholarship 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 Pitfalls of AI Integration in Education: Skill Obsolescence, Misuse, and Bias;pp.319-340 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/979-8-3373-0122-8.ch014" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3373-0122-8.ch014</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105010424832?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105010424832?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 Taneja D., Christ University, India; Prabagaren H., Christ University, India; Thomas M.R., Christ University, India Description An account of the resource The integration of AI in academic and publication content generation is a recent development, significantly altering policies on citation and authorship, which were previously designed for human-generated work. While AI tools have eased administrative and academic workloads, their rapid adoption raises concerns about ethics and academic integrity. This chapter explores the role of AI as a transformative force in academia, highlighting both its benefits and potential downsides. A key concern is the potential erosion of critical thinking among researchers and scholars due to overreliance on AI, which could impact the quality of research. Despite being a game-changer for students, educators, and administrative staff, the academic community must address the ethical implications and develop new policies to ensure that AI enhances rather than undermines scholarly work. This chapter aims to foster dialogue on how academia can coexist with advancing AI innovations while maintaining research integrity and quality. 2025 by IGI Global Scientific Publishing. All rights reserved. Publisher An entity responsible for making the resource available IGI Global Relation A related resource ISBN: 979-833730124-2; 979-833730122-8; 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