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AI in Academia: Balancing Integrity, Ethics, and Learning Amid Evolving Norms of Authorship and Scholarship
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Author(s): Devanshi Taneja (Christ University, India), Harivarshini Prabagaren (Christ University, India)and Mary Rani Thomas (Christ University, India)
Copyright: 2025
Pages: 22
Source title:
Pitfalls of AI Integration in Education: Skill Obsolescence, Misuse, and Bias
Source Author(s)/Editor(s): Manuel B. Garcia (FEU Institute of Technology, Philippines), Joanna Rosak-Szyrocka (Częstochowa University of Technology, Poland)and Aras Bozkurt (Anadolu University, Turkey)
DOI: 10.4018/979-8-3373-0122-8.ch014
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Abstract
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.
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