Kavitha Ravindran Co-founder, CCO, CGO, sAInaptic Professor Miles Berry Professor of Computing Education, University of Roehampton Professor Sara de Freitas University of Suffolk Director of the Digital Futures Institute Dr Detlef Nauck Head of AI and Data Science Research, Applied Research unit at BT Associate Professor Deirdre Hughes OBE Career Development Specialist, CareerChat (UK) Ltd & Warwick University IER Some schools are banning the use of chat GPT and other large language models in educational settings, but are there more nuanced approaches that can strike a balance between harnessing the benefits of AI tools and resources, and addressing ethical and practical concerns, often characterized by the media. In the age of AI, how can educational institutions strike a balance between teaching students the fundamentals of artificial intelligence and machine learning while also preparing them for the ever-evolving demands of the business world? We'll key questions to a panel of experts, such as... - What strategies or curriculum changes are needed? - What are the examples of AI being a force for good? - Are teachers aware that many of the existing online resources being used are already driven by AI? There's often a gap between the cutting-edge AI research conducted in academia and the practical applications required by businesses. How can we bridge this gap to ensure that AI research leads to real-world solutions and innovations that benefit both education and industry? Ethical considerations in AI are becoming increasingly important. How can educational institutions incorporate ethical AI training into their curricula, and how can businesses ensure that ethical practices are integrated into their AI-related projects and products? The demand for AI talent in the workforce is growing rapidly. How can businesses and industry leaders collaborate with educational institutions to ensure that graduates are well-equipped with the practical skills and knowledge required for AI-related roles?