The University AI Sovereignty Index: A Multidimensional Method for Assessing Institutional Digital Autonomy

In the modern university, the machinery of learning and discovery increasingly relies on invisible digital partners. Artificial intelligence systems now help write research papers, grade student essays, manage campus logistics, and predict which students might struggle. These tools are often powerful, but they come from outside the university, running on servers owned by corporations and governed by rules written in legal contracts that few faculty members ever read. This arrangement creates a subtle form of dependency. A university might own its buildings and employ its staff, yet find its most critical decisions shaped by software it cannot see, modify, or easily leave. This situation raises a fundamental question for higher education: does a university truly control its own future if its digital life is built on foundations it cannot inspect or replace? The concept of digital sovereignty, which usually refers to nations controlling their own data and technology, is being applied here to institutions. It is not about isolation or refusing to use new tools, but about maintaining the practical ability to choose, understand, and, if necessary, walk away from the technologies that shape academic life.

A researcher at Maaref University of Applied Sciences has proposed a new way to measure this capacity, calling it the University AI Sovereignty Index. Rather than simply counting how many artificial intelligence tools a school uses, this method asks whether the institution actually has the power to govern them. The work is not a final ranking of real universities, but a detailed blueprint for how such an assessment could be built. The author argues that true autonomy is not a single yes-or-no state, but a complex set of capabilities spread across eight different areas of university life. These areas range from the high-level decisions made by the board of trustees to the daily experiences of students in the classroom. The goal is to create a diagnostic tool that helps universities see where they are vulnerable, distinguishing between a school that has strong technology but weak control, and one that is balanced and truly independent.

The index breaks down the concept of sovereignty into eight distinct dimensions, each weighted to reflect its importance. Five of these areas are considered core pillars: strategic authority, infrastructural control, data stewardship, model assurance, and pedagogical autonomy. The remaining three cover human capability, the ability to negotiate with outside vendors, and the protection of collective rights. To score a university, the method looks for concrete evidence rather than promises. A policy document that sits in a drawer is worth less than a process that is actively monitored and reviewed. The scoring system is designed so that a weakness in one area cannot be hidden by strength in another. If a university has excellent cybersecurity but no way for students to appeal an automated decision, the overall score reflects that critical gap. This approach prevents a high total number from masking a dangerous lack of control in a specific, vital area.

A central part of the proposal is a test for how artificial intelligence affects teaching and learning, known as the OCAET framework. This test asks five specific questions about any educational technology. Does the tool help orient knowledge by showing its limits and sources, or does it present uncertain information as absolute fact? Does it activate the student's own thinking, or does it perform the intellectual work for them? Does it preserve the human's ability to choose and refuse, or does it make the tool feel compulsory? Does it support the student in checking their own work against academic standards, or does it rely solely on the vendor's claims? Finally, does the learning and skill gained transfer to other contexts, or is it locked inside the specific software? This framework ensures that the assessment of sovereignty is not just about technical ownership, but about whether the technology serves the educational mission.

To demonstrate how the index works, the paper presents three fictional examples of universities. One institution has powerful servers and strong technical teams but lacks any mechanism for students or staff to challenge decisions, resulting in a low score because its power is not balanced by rights. Another school has moderate technology but excellent governance and a clear plan for leaving its current systems if needed, earning a higher score because its capabilities are coherent and safe. A third example shows a small college with creative local uses of technology that are fragile and dependent on individual staff members, highlighting the risk of relying on personal expertise rather than institutional capacity. These examples illustrate that a high score is not about having the most advanced tools, but about having a balanced, evidence-backed ability to manage them.

The author is careful to state that this index is a proposal, not a finished product ready for public comparison. The weights assigned to each dimension and the specific indicators chosen are starting points that need testing. The paper outlines a rigorous plan to validate the method, including interviews with university leaders, experts from around the world, and pilot studies in real institutions. The process is designed to ensure that the tool actually measures what it claims to measure and can predict real-world outcomes, such as how quickly a university can suspend a problematic system or how well it can protect student data. Until this validation is complete, the index is intended for internal use, helping schools identify their own gaps and improve their governance without fear of public ranking.

Ultimately, the paper suggests that sovereignty in the age of artificial intelligence is not about owning every server or building every model from scratch. It is about the capacity to govern dependencies. A university can use cloud services and commercial tools while remaining sovereign, provided it understands the risks, has the skills to manage them, and retains the power to change course when necessary. The proposed index offers a structured way to make these hidden dependencies visible and discussable. By focusing on evidence and balance rather than just technical prowess, it aims to help higher education institutions navigate the digital future without losing their ability to shape their own destiny. The work concludes that the true measure of a university's digital health is not its isolation, but its ability to remain open, negotiable, and in control of its own learning and research.