Educational institutions increasingly use education data and AI to enhance teaching and learning. While these technologies offer many opportunities, they also pose ethical and legal challenges. Reference Framework 2.0 provides guidance for responsible implementation. It helps education professionals make decisions that balance values, legislation, and responsibilities.
What
Guidance for the responsible use of education data and AI in tertiary education
For whom?
For professionals in vocational (mbo), applied sciences (hbo), and research universities (wo) who work with education data and AI, such as policy advisors, educators, IT managers, and institutional leaders. Also relevant for administrators and legal experts within educational institutions.
Type of knowledge product
Guidance document
Summary
Reference Framework 2.0 provides clear principles for the responsible use of education data and AI in education. It focuses on how institutions can utilize these technologies in alignment with core public values, such as fairness, humanity, and autonomy. The framework helps identify and balance risks and provides actionable steps to get started, such as developing a business case and involving stakeholders.
It also addresses legal frameworks, including the General Data Protection Regulation (GDPR) and the European AI Act. It explains when an institution qualifies as a provider or user of AI systems and what obligations follow from that role.
The framework emphasizes the importance of assigning clear responsibilities and encourages ongoing dialogue about values and compliance. It is not a static endpoint but a dynamic tool that evolves with new developments in technology and society.