Practical cross-disciplinary case study of embedding AI literacy in inclusive and international management education.

This session presents a practical, framework-led approach to embedding AI within management education that is designed for inclusive and highly internationalised classrooms. Drawing on the institutional context of Queen Mary University of London (QMUL), characterised by a strong widening-participation mission, significant numbers of first-generation and vocational-route students, and a postgraduate cohort that is over 90% international, the session focuses on showcasing the QMUL-developed AI in Teaching and Learning Framework and the AI Curriculum Alignment Model (AI-CAM), which together provide clear, step-by-step guidance for aligning learning outcomes, assessment, teaching activities, and AI use. Through module and programme level case examples, participants will understand how AI literacy is scaffolded progressively across a business management undergraduate programme and how ethical considerations are embedded in curriculum design. The session contributes actionable models and transferable practices for educators seeking to respond to the changing realities of international and inclusive management education.