Navigating ethical considerations and implications of AI chatbots in higher education: A systematic review

Abstract

This systematic review explores the ethical challenges associated with the use of AI-based chatbots in higher education, focusing on their implications for students, educators, institutions, and administrative stakeholders. Following PRISMA guidelines, peer-reviewed literature published between 2014 and 2024 was systematically identified across eight major academic databases, yielding a total of 109 eligible studies. A thematic analysis of the included literature indicates that concerns related to academic integrity are most frequently discussed, alongside recurring issues involving data privacy and security, algorithmic bias, overreliance on automated systems, and the risk of inaccurate or misleading outputs. The findings further demonstrate considerable variation in institutional responses to AI chatbot adoption ranging from the development of formal governance structures and ethical guidelines to more cautious, selective implementation strategies, and, in some cases, restrictive or prohibitive policies. While many studies report positive outcomes associated with AI chatbots particularly in relation to student engagement, personalized learning support, and administrative efficiency, their expanding use raises complex ethical, regulatory, and governance challenges. Collectively, these findings highlight the need for clearer institutional policies, responsible implementation practices, and ongoing evaluation mechanisms. The review also identifies persistent gaps in empirical research and outlines priorities for future studies aimed at supporting the ethical, inclusive, and sustainable integration of AI chatbots in higher education.

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