Navigating Generative AI in Education

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.

Program 

This is a public event. Participation is free of charge. No registration required.