The ETH-TECH Podcast is officially online!
Through short, accessible episodes, the podcast opens a space for critical reflection on the ethics of AI and data in education, bridging European policy frameworks with everyday educational practice.
Rooted in the ETH-TECH project, the podcast explores how ethical principles take shape – and sometimes clash – when technologies mediate learning, decision-making, and power relations.
Episode 1 – Ethics between principles and practice
The first episode explores a central tension of contemporary AI: while technologies promise clarity, they often generate new forms of opacity.
Drawing also on the voices and perspectives of the ETH-TECH project partners, the conversation starts from European ethical guidelines and examines how “responsible AI” is interpreted in real educational contexts, where local cultures, institutional constraints, and everyday practices complicate abstract principles.
Researchers, educators, and practitioners from the project reflect on what ethics means when technology actively shapes learning environments, decision-making, and power relations.
Episode 2 – Ethics, AI and European competence frameworks
In conversation with Dr. Juliana E. Raffaghelli, ETH-TECH project coordinator, the second episode uses DigComp 3.0 as an entry point to explore how ethics, AI, and data are framed within European education policy. The discussion critically examines what becomes visible – and what risks being overlooked – when ethical concerns are translated into competence frameworks, raising questions about responsibility, agency, and educational priorities in contemporary education.
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Join the conversation!
What resonates with your experience? What questions or reflections did this episode spark?Share your thoughts in the comments.
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