This symposium will explore how generative AI can enhance personalized learning experiences while tackling key challenges such as fairness, transparency, and bias in educational content. Featuring a distinguished panel of experts from leading institutions, this seminar promises to create valuable insights into the future of AI-driven education.
Interactive panel discussions will offer attendees the chance to engage directly with leading experts, encouraging dynamic and forward-thinking dialogue. This seminar is designed to be a platform for interdisciplinary collaboration, promoting a shared vision and research strategy that harnesses collective expertise to tackle the complex challenges posed by AI in education.
Key topics Personalized Learning and AI: Explore how machine learning models can customize educational experiences for individual learners, enhancing engagement and outcomes.
Explainable AI (XAI): Understand the importance of transparency in AI algorithms to foster trust and ethical use in educational settings.
Ethical and Legal Considerations: Investigate the intersection of AI with law and policy, addressing issues such as authorship, copyright, and the responsible adoption of AI tools in education.
Digital Transformation in Teaching: Discover innovative approaches to integrating digital media and AI into curriculum development and teaching practices.
Further information and full programme