• Tadagoppula Aravind

The pervasive integration of Artificial Intelligence (AI) tools, particularly generative AI, into academic practices presents unprecedented challenges and complexities for maintaining academic integrity and ethical standards. This article critically examines the multifaceted ethical landscape emerging from AI's increasing role in research, writing, and learning. We delineate key challenges, including new forms of plagiarism and authorship attribution dilemmas, the potential for over-reliance leading to deskilling, concerns regarding algorithmic bias and its impact on fairness, and issues of data privacy and security when interacting with AI platforms. The paper also explores the imperative for developing robust institutional policies, pedagogical strategies, and technological solutions to safeguard academic honesty. We argue that effectively navigating this new era requires a proactive, multi-pronged approach: fostering AI literacy among students and faculty, establishing clear guidelines for AI use, promoting transparency and disclosure, and emphasizing critical thinking and human oversight. Ultimately, preserving the core values of scholarship in the age of AI necessitates a collaborative effort to adapt existing frameworks and cultivate a culture of responsible AI engagement.

Academic Integrity, Artificial Intelligence, Ethics, Generative AI, Plagiarism, Authorship, Algorithmic Bias, Data Privacy, Higher Education, Responsible AI.

"NAVIGATING ACADEMIC INTEGRITY AND ETHICAL CHALLENGES IN THE AGE OF ARTIFICIAL INTELLIGENCE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.13, Issue 2, page no.163-165, February-2026, Available :http://www.jetir.org/papers/JETIRHJ06034.pdf

"NAVIGATING ACADEMIC INTEGRITY AND ETHICAL CHALLENGES IN THE AGE OF ARTIFICIAL INTELLIGENCE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.13, Issue 2, page no. pp163-165, February-2026, Available at : http://www.jetir.org/papers/JETIRHJ06034.pdf