AI IN ACADEMIA

REIMAGINING PEDAGOGY, POLICY AND PUBLISHING IN THE DIGITAL AGE

Abstract

Artificial Intelligence (AI) has emerged as a transformative force across all sectors, with academia experiencing profound disruptions and opportunities in equal measure. From streamlining administrative tasks to revolutionising pedagogical practices and research methodologies, AI’s multifaceted influence warrants a detailed examination. This article critically explores the implications of AI in academic domains such as teaching, learning, research, ethics, academic integrity, and institutional policy. It evaluates the evolving role of educators, the rise of intelligent tutoring systems, algorithmic bias, data privacy concerns, and the challenges posed by AIgenerated content. While AI promises enhanced efficiency, accessibility, and innovation, it simultaneously raises concerns about dehumanisation, dependency, and ethical boundaries. This paper argues for a cautious yet proactive approach, advocating policy-driven, human-centric integration of AI within academia.