The Impact of Artificial Knowledge on Designing Knowledge Strategies

The emergence of artificial intelligence, as the primary product of artificial knowledge, has a profound impact on the structure and operation of knowledge management systems. That leads to new challenges of integrating human knowledge with artificial knowledge in a meaningful way in making decisions and designing knowledge strategies. The purpose of this paper is to explore the impact of artificial knowledge on knowledge processes and to design strategies for knowledge management systems. These strategies have a different understanding and formulation from business strategies. Artificial knowledge is rational and has nothing to do with a certain truth or adequate representation of reality, like human knowledge. It is just an outcome of the Large Language Models (LLMs) of artificial intelligence (AI). The paper investigates how artificial knowledge can be integrated within the generic knowledge strategies of a company, keeping in mind its advantages and limitations by comparison with those of human knowledge. The paper analyses the exploitation knowledge strategy, the acquisition knowledge strategy, the knowledge sharing strategy, and the knowledge exploration strategy.