This hybrid seminar invites participants to critically reflect on the ethical challenges involved in using artificial intelligence and data-driven technologies in education.
Drawing on the European project ETH-TECH (Anchoring Ethical Technology – AI and Data – Usage in the Educational Practice), the session examines why so many ethical frameworks—though well-intentioned—often fail to foster genuine ethical reflection or influence educational practice.
Through an interactive activity using the self-reflection tool developed within ETH-TECH, participants will be invited to map institutional realities and practices (their own or those they have observed or researched) in relation to the EU’s seven ethical principles for AI and data in education: human agency, transparency, diversity and fairness, social and environmental well-being, privacy and data governance, technical robustness, and accountability. The goal is to translate ethical awareness into situated understanding, particularly by connecting it to the notion of postdigital positionality, and to open a nuanced dialogue on how educators can navigate AI systems with integrity and pedagogical care. The format combines short inputs from the speaker with a guided group discussion.
