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From personalized learning to groundbreaking research tools, and from the threat of redundant skills to undetectable plagiarism, AI is poised to reshape learning. How should we adapt?

Join a distinguished panel of experts in an incisive online discussion on AI's impacts facilitated by CODE fellow Leonard Houx (Director of Learning Design, Cambridge Education Group): 

• , Professor Emerita of Learning Technologies and Social Computing at , a leading researcher in effective learning platform design. 
• Kane Murdoch (Head of Complaints, Appeals, Misconduct, Macquarie University) is a world-leading expert on student misconduct. He has spoken and written about the unique problems AI poses for academic integrity. 
• UgnÄ— Litvinaitė (Research Fellow in Educational Technology, LSE) has led research into student perspectives on AI adoption in assessment. 
• Neil Mosley (Writer and Consultant) draws from years advising institutions on learning design. He has written about the potential threats and opportunities AI presents for learning design. 
• Efrat Furst (Head of Research AI in Education, Mofet Institute) is a cognitive neuroscientist whose work and research translates cognitive science into teaching practice. Her work has pioneered AI integration for Israel's teacher training programs. 
• EglÄ— Vinauskaitė (Learning Strategist and Director, Nodes) award-winning learning design consultant Egle has written and spoken about AI in corporate learning extensively, having notably co-authored AI in L&D: The state of play. 

This panel will deliver a multifaceted examination of AI's profound impacts across teaching, learning, ethics, skills, and the overall future trajectory of universities.