Ethics of AI and Data in Education
The Situated ETH-TECH Perspective: a Framework for Practice
“…placing ethics at the heart of AI and data use in education.”
Our Purpose
The ETH-TECH Framework reflects the teaching and research expertise of teams from Germany, Italy, Romania, and Spain. It proposes a culturally sensitive and contextualized approach to the ethical principles on AI and data in higher education, developed at the EU level.
Built on participatory awareness-raising sessions held in spring 2025 with university teachers and students, the framework highlights the importance of culture, local socio-economic dynamics, and national recommendations in shaping a responsible and inclusive use of AI in higher education.
The ETH-TECH Framework conceptualizes three interwoven levels of ethical engagement with AI in education:
- Technological – how AI systems work, transparency, regulation, and data management.
- Institutional – organizational and policy-related responsibilities.
- Personal – teachers, students, and the classroom as a regulated interaction space.
It focuses on three EU key principles:
- Human agency and oversight
- Transparency
- non-discrimination,Diversity, non-discrimination and fairness
Watch the video below to discover how the framework supports educators and institutions in building an ethical approach to AI in higher education.
After the video, you can take a look at the visual ETH-TECH Framework document, complete with all the essential information.
Want to know more?
If you want to dive deeper into the ETH-TECH project, we have prepared a set of open-access resources available on the ETH-TECH Community on Zenodo.
These documents are designed to support educators, students, and institutions in exploring the ethical use of AI and data in higher education.
📂 What you will find:
- Technical Documentation with a variety of materials designed:
- Further information about guidelines on integrating EU ethical principles into teaching and learning.
- Case studies and recommendations for institutions, teachers, and students—translating the guidelines into practical, real-world contexts.
- Transnational report on how the ethics of AI and data use are represented in the syllabi of pre-service teachers and educators training across the four European Countries of the project.
- National-specific reports with insights from our participatory sessions—covering both workshops with faculty members about syllabi contents and with students and practitioners about ethical practices and perspectives.
- ITA Reports
- DE Reports
- RO Reports
- ES Reports
All materials are freely accessible and ready to use — a resource from us, for you.