ARTIFICIAL INTELLIGENCE IN BUSINESS EDUCATION: MULTIDISCIPLINARY APPROACHES TO TRANSFORMING LEARNING, INNOVATION AND INDUSTRY
Abstract
This paper, titled Artificial Intelligence on business education; a multidisciplinary approach to transforming learning, innovation and industry, shows how Artificial Intelligence (AI) is fundamentally reshaping business education by transforming both the content and methods of teaching, preparing graduates for data-driven, algorithmically enhanced workplaces. Unlike prior technologies, AI introduces predictive analytics, automation, adaptive decision-making, and autonomous systems, demanding that graduates possess technical fluency, strategic integration skills, and ethical awareness. Employers increasingly require professionals capable of applying AI to create business value while addressing challenges such as bias, privacy, and transparency. Business faculties are responding by embedding AI across curricula, offering experiential learning through AI labs, simulations, capstone projects, and executive programs, thereby bridging theory and practice. A multidisciplinary approach is essential, combining computer science, statistics, business knowledge, organizational behaviour, design thinking, ethics, and pedagogy. This convergence ensures students develop both technical competence and managerial, ethical, and strategic insights. AI also enhances learning through personalized adaptive pathways, intelligent tutoring, automated assessment, immersive simulations, and faculty augmentation, fostering engagement, critical thinking, and applied problem-solving. Key competency areas for students include foundational literacies in AI and data, applied technical skills, business integration, governance and ethics, human–AI teamwork, and innovation. Ethical, legal, and social considerations, such as academic integrity, bias mitigation, privacy, equity, and institutional governance, must underpin AI education. Successful integration also requires institutional transformation, including faculty development, industry partnerships, robust infrastructure, and policy frameworks. In conclusion, AI is both a technological imperative and pedagogical responsibility. When strategically embedded, it enables business schools to cultivate graduates who can lead AI-driven transformation responsibly, ethically, and effectively across industriesReferences
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