ECIU reflections on AI in education: From shared principles to institutional action

The rapid expansion of Generative Artificial Intelligence (GenAI) into higher education has triggered a profound shift in the academic landscape. The critical challenge for universities now is how to engage with it responsibly and sustainably. As the context evolves, ECIU's answer lies in a vital transition: translating shared ethical principles into concrete institutional practice. The latest ECIU position was presented at an AI in Education webinar, attended by over 120 experts from all over Europe.

The newly released ECIU "AI in Education" paper, developed by the CLARINET Expert Group, presents a practical framework. Here, ECIU addresses a core challenge: the transition that institutions must make to move from acknowledging the technology to reshaping how they teach and evaluate students.

Built on the collective expertise of specialists from the network, the paper outlines key guiding principles for shared AI use in higher education. In doing so, it promotes responsibly integrating AI into practice while protecting spaces where human judgment must prevail. Across ECIU's member universities, the following principles prove central:

• Ethical, transparent, and critical use: AI must be used responsibly, maintaining human oversight and academic integrity.‍
• Assessment renewal: Prioritising higher-order skills that AI cannot substitute.‍
• Educator accountability: Academic staff must guide students in shaping how they engage with AI.‍
• Student responsibility: They must disclose AI use and critically evaluate outputs.‍
• Data protection: Avoid entering personal or confidential information into AI tools.‍
• AI literacy: Cultivating critical AI literacy and source of evaluation.

The urgency of this conversation was reflected in the exceptional attendance of over 120 participants at ECIU's webinar "AI in Education", held on 19 May 2026. It brought together a community of higher education leaders from across Europe seeking guidance to navigate this digital transformation. The event served as a timely forum to collectively explore how AI and GenAI are reshaping the academic landscape.

Opening the discussion, Monica Ward (School of Computing at Dublin City University and Chair of CLARINET, the ECIU AI in Education Expert Group) presented the ECIU paper on AI in Education. She emphasised the importance of preserving critical thinking as an irreplaceable human quality. AI, she underlined, should serve as a safe and supportive tool, enhancing what universities do, not replacing the capabilities of the people within them.

Following this, Thomas Ekman Jørgensen (Director of Policy Coordination and Foresight at the European University Association) called for AI implementation to be anchored in core university values. He highlighted the critical need to measure AI's impact by its effect on student well-being, while warning against allowing it to erode essential academic skills such as critical thinking. His remarks echoed the findings of the EUA report "Adopting AI that serves the needs and values of universities", which argues that as universities' approach to AI shapes its adoption across society, they must be guided by curiosity and critical thinking. It also examines responsible AI integration across five areas: ethics, strategies, training, regulation, and sustainability.

Finally, Bianca Pace (European Students' Union) reflected on how unequal digital literacy creates a cycle of uncertainty for both students and university staff. She called for clearer, harmonised and consistent rules across institutions. These are the guidelines that will empower students to use AI responsibly as an effective learning assistant.

Download our paper on AI in education [here]

Revisit the conversation and hear perspectives from university leaders, policy experts, and student representatives on the role of AI in shaping the future of higher education.