Generative artificial intelligence integration in management education: application and ethical challenges

Abstract

In the modern era, Generative Artificial Intelligence (GAI) tools can significantly impact and even transform Management Education Institutes (MEIs) through advanced technological developments. Using the GAI promises extensive gains in managerial efficiency, increased learning experience, skill formation and resource availability. Nonetheless, regarding their contextual integration in the educational sector, various ethical challenges (i.e. bias, privacy, accountability and intellectual property) also exist. Moreover, the analogy of multiple factors and a straightforward visualization of their empirical connection is lacking in existing literature. Consequently, this study proposes comprehensive matrices to help teachers, trainers and policymakers adopt a balanced approach between opportunities and ethical apprehensions linked with GAI education. Along these lines, for the responsible usage of GAI inside MEIs, educational technology adoption (i.e. TAM and UTAUT) and Ethical (i.e. Utilitarianism, Deontological Ethics, and Virtue Ethics) theories are leveraged. This study recommends that future researchers further investigate GAI’s long-term changes, cross-cultural adaptations, and technological innovations. In addition, for a transparent, wide-ranging, and liable implementation of GAI, one must emphasize the continuous evaluation and diverse stakeholders’ collective efforts. One might fully explore the full potential of GAI’s responsible integration to foster the conditions supporting ethical systems and mature outcomes.