特集に寄せて 生成AI時代における知識科学再考：暗黙知から形式知への転換と現場知の再構築

抄録

This special issue explores the redefinition of knowledge science in the era of Generative AI, specifically examining the evolving relationship between tacit and explicit knowledge.

While Large Language Models (LLMs) enable the restructuring of expertise into codified forms through statistical processing, this transition challenges traditional frameworks of knowledge creation and justification.

The collected articles analyze how AI intervenes in diverse fields to facilitate "AI-readiness" and the formalization of "field knowledge" (Genba-chi).

However, the contributors emphasize that AI-generated outputs remain mere statistical reconstructions unless integrated into human practices of interpretation, judgment, and consensus-building.

By addressing the ontological limits of AI and the necessity of social and institutional frameworks, this issue seeks to establish new design principles for knowledge science where humans and AI co-evolve as creative partners in the pursuit of "human wisdom".