ARTIFICIAL INTELLIGENCE, ACADEMIC INTEGRITY AND PLAGIARISM IN RESEARCH IN INDIA

Abstract

The rapid development of generative Artificial Intelligence (AI) has created new opportunities as well as significant challenges for academic research, particularly in doctoral education. Academic integrity requires a PhD thesis to demonstrate originality, independent intellectual contribution, critical thinking, methodological competence, and responsible use of scholarly sources. The increasing use of AI-generated content has therefore raised concerns regarding authorship, plagiarism, disclosure, originality, and the authenticity of doctoral research. In India, these concerns have gained greater importance with the introduction of AI-content indicators alongside conventional similarity detection through the ShodhShuddhi infrastructure. The UGC plagiarism framework establishes percentage-based levels for textual similarity, while universities are increasingly developing institutional approaches to AI-generated content and responsible AI use (UGC, 2018; The Times of India, 2026). This paper examines the emerging relationship between AI, plagiarism detection, and academic integrity in PhD research. It discusses the role of UGC regulations, plagiarism-detection systems, research supervisors, and institutional policies in maintaining research quality. It also distinguishes legitimate AI-assisted activities, such as grammar improvement and information organization, from inappropriate use in generating substantial portions of a thesis. The paper argues that effective regulation should balance technological innovation with academic responsibility, transparency, and intellectual ownership. Clear institutional guidelines, researcher training, appropriate disclosure, and fair investigation procedures are essential for ensuring that AI supports rather than replaces independent doctoral scholarship.