ARTIFICIAL KNOWLEDGE AND ITS CHALLENGES FOR THE KNOWLEDGE MANAGEMENT SYSTEMS

Abstract

The purpose of this paper is to analyze the emergent concept of artificial knowledge with respect to artificial intelligence and human knowledge, and to identify its challenges for the knowledge management systems. Although the concept of artificial intelligence has been known for a long time, the concept of artificial knowledge is quite new and emerged with the explosion of Generative AI (GenAI) applications, especially with ChatGPT. This is a conceptual paper based on a semantic literature review and the theory of knowledge fields and knowledge dynamics. Artificial knowledge became a reality, and its analysis is performed within the framework of knowledge management systems. However, any search on Google or Google Scholar will show entries on artificial intelligence and not on artificial knowledge. That is a demonstration of the need to address research on artificial knowledge and to reflect on the mode of integrating artificial knowledge within the knowledge management systems. Artificial knowledge is the product of machine learning and deep learning processes and of the processing power of artificial intelligence. Unlike human knowledge that manifests in different forms, artificial knowledge manifests only as a rational form. Therefore, its integration within the knowledge management systems should be done only in those processes which are based on human rational knowledge. The present analysis helps managers in understanding how to combine human and artificial knowledge in the new hybrid knowledge management systems.

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