Strategic Integration of Artificial Intelligence in Higher Education and Research: Achievements and Practices at the University of Economics – Varna
TL;DR
The study outlines an institutional framework for AI integration based on the Plan–Do–Check–Act (PDCA) cycle, emphasizing strategic vision, stakeholder collaboration, ethical governance, and continuous improvement.
Abstract
The rapid expansion of artificial intelligence (AI) in education and scientific research presents both significant opportunities and substantial challenges for higher education institutions (HEIs). Despite widespread adoption, a large proportion of AI initiatives fail to deliver sustainable value, underscoring the need for structured, ethical, and human- centered implementation models. This paper presents the modern achievements of the University of Economics – Varna in the application of AI across education, scientific research, and institutional processes. The study outlines an institutional framework for AI integration based on the Plan–Do–Check–Act (PDCA) cycle, emphasizing strategic vision,stakeholder collaboration, ethical governance, and continuous improvement. The presented experience contributes practical insights into the transition from AI toward hybrid intelligence, where technological advancement is balanced with human values, trust, and institutional responsibility
