Artificial Intelligence-Based Knowledge Management: 9-Square Grid AI-Based KM Model

Although artificial intelligence (AI) has been significantly developed, it is usually regarded as supporting tools for experts to combine the explicit information in the Knowledge Management (KM) literature. The implicit assumption is that knowledge creation still depends on the creativity of human being. In this paper, we falsify the assumption by a case study of the knowledge creation activities conducted by a Software as Medical Device R&D team in one teaching hospital. Then, besides the 4 traditional knowledge conversion modes (socialization, externalization, combination and internalization) in SECI Model, we add five knowledge conversion modes (modeling, encoding, machine learning, explaining and verifying) into the knowledge creation process, and extend 4-quadrant SECI Model to 9-square grid AI-based KM Model, which is expected to be appropriate Knowledge Management model for guiding the knowledge creating process in the AI age.