How Knowledge Arbiter manages Al and Human Assets in KiM

摘要

Creating knowledge and transforming it into innovations is a daunting task. Expanding upon the KiM (Knowledge in Motion) Model by Datta (2007), we propose a semiotic view of the KiM model (S-KiM hereon). Using semiotics as the theoretical lens to define and segregate levels of knowledge, the questions we ask are as follows: What are the different levels of knowledge and how do they correspond with various levels of Al and human capabilities required to absorb and cycle knowledge within organizations? We use Knowledge Arbiter (KA) as a fictional firm to exemplify the cycle of knowledge transformation in an age of Al and Analytics.