Redefining Postgraduate Supervision in the Age of AI: Balancing Technology and Human Mentorship

Abstract

The advent of technology, particularly the rapid advancement of Artificial Intelligence (AI), is posing significant challenges to traditional models of postgraduate student supervision, ranging from affective mentorship relationships to automated interactions. AI-powered tools such as ChatGPT, Grammarly, DeepSeek, and automated data analysis software provide unprecedented data support to students, thereby enhancing and automating routine tasks. Consequently, the role of supervisors in upholding the fundamental principles of mentoring—such as fostering critical thinking, creativity, and ethical inquiry—is being scrutinised in light of this technological shift. This chapter examines the challenges associated with the incorporation of AI into postgraduate supervision, investigating its impact on intellectual independence, academic integrity, and mentor-mentee dynamics. Through a comprehensive Systematic Literature Review, this conceptual paper identifies strategies for balancing AI-driven efficiencies with human-centred mentoring practices. Additionally, we address ethical considerations, power dynamics, and equity issues that arise within AI-mediated supervision. Our contributions suggest that while AI offers transformative potential, it is essential to preserve the human elements of supervision, empathy, intuition, and the capacity to inspire original thought. This chapter contributes to the ongoing conversation on redefining postgraduate supervision in the digital age, providing actionable insights for supervisors navigating the challenges and opportunities presented by AI.