CONCEPTUAL PRINCIPLES OF INTEGRATION OF ARTIFICIAL INTELLIGENCE IN THE MANAGEMENT OF INTELLECTUAL CAPITAL OF A HIGHER EDUCATIONAL INSTITUTION

Abstract

The digital transformation of society is accompanied by a combination of traditional and modern management technologies, in particular the need to integrate artificial intelligence (AI) technologies into the management of intellectual activities of higher education institutions (HEIs). The purpose of the study is to develop a conceptual model of the interaction of AI technologies and intellectual capital of HEIs. The research methodology is based on system analysis and a structural-functional approach. The study is based on the understanding of intellectual capital as a set of intellectual assets, including human assets (knowledge, skills, experience of employees), organizational assets (processes, technologies, intellectual property) and relationship assets (relationships with stakeholders, reputation, brand). Currently, existing AI technologies are classified by functional purpose: AI systems; AI functions; AI tools. The use of AI systems is accompanied by the production of intellectual products and the creation of market value. AI tools are associated with the use of involved human intellectual assets and assets of relations in the form of knowledge, the carrier of which is people and their communities, respectively, cannot act as an intellectual product, which allows us to talk about their social value and mainly natural right of ownership (use). The results of the study include the developed conceptual framework for the integration of AI systems and tools into the process of managing intellectual capital of higher education institutions. The proposed conceptual framework can serve as the basis for: planning investments in AI technologies, taking into account the impact on all components of intellectual capital; developing advanced training programs for scientific and pedagogical workers in the field of AI; forming a knowledge management policy in the context of digital transformation. The practical significance of the work lies in the formulation of principles for the implementation of AI technologies in higher education institutions with the mandatory increase of all components of intellectual capital, taking into account the importance of various AI technologies.