Artificial Intelligence and Responsible Management Education: Current Applications and Future Directions
Third Author's Department
Accounting Department
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https://doi.org/10.4324/9781003660286
Document Type
Research Article
Publication Title
Artificial Intelligence and Responsible Management Education Current Applications and Future Directions
Publication Date
10-23-2025
doi
10.4324/9781003660286
Abstract
Artificial Intelligence and Responsible Management Education. Artificial Intelligence (AI) offers considerable opportunities, as well as challenges, to management education and research. This book brings together case studies and best practice examples of the use of AI in advancing diverse fields relating to Responsible Management Education (RME). Moving beyond the conceptual questions about the use of AI in management education, the book identifies the real-world application of AI and showcases exemplary policies related to AI and its role in advancing responsible management in higher education institutions. Interesting cases include the development of curricula, AI-powered personalized learning, the implications of using AI in short-answer grading, and the utilization of AI in auditing and investment. The book is relevant to educators and scholars worldwide, as well as managers of universities and business schools as they navigate what it entails to advance responsible management education in the AI era.
First Page
1
Last Page
240
Recommended Citation
APA Citation
El-Bassiouny, N.
Amann, W.
El-Bassiouny, D.
&
Hauser, C.
(2025). Artificial Intelligence and Responsible Management Education: Current Applications and Future Directions. Artificial Intelligence and Responsible Management Education Current Applications and Future Directions, 1–240.
https://doi.org/10.4324/9781003660286
MLA Citation
El-Bassiouny, Noha, et al.
"Artificial Intelligence and Responsible Management Education: Current Applications and Future Directions." Artificial Intelligence and Responsible Management Education Current Applications and Future Directions, 2025, pp. 1–240.
https://doi.org/10.4324/9781003660286
