2^nd Symposium on Integrating AI and Data Science into Education Across Disciplines

AI technologies, coupled with large-scale data collection and algorithmic decision-making, affect our daily lives – especially the lives of young people – and are expected to do so even more in the future. Therefore, AI and data education should be discussed from different educational perspectives and implemented at an early stage. This includes promoting an understanding of how AI systems work, as well as their limitations, opportunities, risks, and creative potentials.

AI and data literacy are increasingly essential subjects that need to be addressed in school curricula. In today’s digital age, data is being generated at an unprecedented rate. Thus, understanding how to analyze and interpret data is crucial to making informed decisions in a variety of fields. Data literacy enables students to extract valuable insights from vast amounts of data and to make evidence-based decisions and address complex problems. In addition, AI literacy is vital as AI becomes ubiquitous in our lives, influencing everything from the products we use to the way we work and live. Familiarity with AI and data science concepts and applications enables students to understand and engage with the rapidly evolving technology landscape, fostering innovation and ensuring they can navigate the future with confidence and adaptability.

The symposium aims to promote a broad understanding of the educational opportunities and challenges of AI and data literacy as part of school subjects and of how to equip individuals – especially students at school level – with the knowledge and skills needed to navigate effectively in the AI- and data-driven world. It focuses on education for learning AI and data science and the development of mathematical, statistical, and computer science skills that can be linked to AI and data literacy. The mere use of AI technologies in an educational context is not the focus of the symposium.