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Lost in AI
By UNIPD TeamEducation
Lost in AI episodes
- The ethics of AI and data in education: universal guidelines, local perspectivesAI promises clarity while often generating new opacity. This podcast traces that tension by exploring how global ethical principles collide with the everyday realities of educational practice. Through sharp, accessible episodes grounded in the ETH-TECH project, we examine how European guidelines on AI and data translate into local dilemmas, cultural expectations and institutional constraints. Educators, researchers and students unpack what “responsible” really means when technology mediates learning, decision-making and power. The result is a grounded, critical and practical lens on the digital transformations reshaping education.
Produced within the ETH-TECH Erasmus+ project. Episode developed and produced by the University of Padova (UNIPD).
This episode includes AI-generated content.17 min
About Lost in AI
From the publisher's feed
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.
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.