Relationship between tacit knowledge, explicit knowledge, and AI summary
We will discuss what will be gained and what will be lost when generative AI is used to turn tacit knowledge into explicit knowledge, based on the limitations of SECI and LLM.
We will discuss what will be gained and what will be lost when generative AI is used to turn tacit knowledge into explicit knowledge, based on the limitations of SECI and LLM.
Based on Polanyi's comprehensive understanding, we will examine the advantages and disadvantages of making tacit knowledge and value judgments explicit by paraphrasing them from the perspectives of philosophy, cognitive science, and practice.
We will organize tacit knowledge from Polanyi, Wittgenstein, organizational knowledge creation theory, and practices in the era of generative AI.