Lost in AI

How can educators resist getting lost in AI when its promise of simplicity masks deep shifts in power, meaning and agency? And how can they decipher what these tools truly allow, constrain and quietly reshape in the everyday life of teaching and learning.Like being “lost in translation”, navigating AI in education often means missing what lies beneath the surface. This podcast offers short episodes, sharp insights and honest reflections on what we can and should/should not do with AI in teaching and learning. We explore how ethics grounds practice, showing that “using AI for good” is always shaped by politics, culture and institutions. In concrete terms, we will move behind the scenes of the ETH-TECH project, centred on ethical practice and critical reflection on AI and data in education. In a nutshell, for us, ethical reflection becomes the compass that helps us avoid getting lost in AI.Lost in AI is part of the ETH-TECH Erasmus+ project (2024-1-IT02-KA220-HED-000255527), co-funded by the European Union.