The Role of Generative AI in Redefining Academic Research and Knowledge Creation

Abstract

Generative Artificial Intelligence (AI) has become a significant influence in academic research and the production of knowledge. Generative AI distinguishes itself from traditional tools by facilitating the creation of original content, providing critical insights, and offering analytical perspectives that extend beyond simple data extraction. This study examined the perceptions and experiences of 160 participants, including faculty members, research scholars, and postgraduate students, to evaluate the influence of generative AI on research practices. Data were gathered using a structured questionnaire that included demographic information and four thematic categories: accessibility, research productivity, ethical concerns, and innovation in knowledge creation. The findings demonstrated that generative AI enhanced literature reviews, academic writing, and data interpretation. Concerns regarding plagiarism, reliability, and ethical boundaries persisted as significant issues. Research indicates that generative AI is transforming research methodologies through enhanced efficiency and the facilitation of innovation. Nonetheless, academic institutions must establish robust policies to align its advantages with the tenets of academic integrity.