Repenser la Gestion des Connaissances à l’ère de l’IA Limites cognitives, tensions éthiques et enjeux organisationnels[Rethinking Knowledge Management in the AI Era: Cognitive Boundaries, Ethical Frictions, and Organizational Challenges]

In an era shaped by artificial intelligence, massive data flows, and growing organizational uncertainty, classical models of knowledge management (KM) are facing increasing limitations. Initially developed in relatively stable environments, these frameworks struggle to account for hybrid knowledge ecosystems, algorithmic mediation, and new cognitive tensions. This paper offers a critical and integrative reassessment of the main KM model families. It highlights key contemporary tensions, including knowledge reification, fragmentation of cognitive processes, and human deskilling. To address these challenges, the paper relies on the concept of composite cognitive ecology, which offers a new lens to understand the interplay between human and algorithmic agents in the production, transmission, and use of knowledge. The paper thus aims to open new avenues for research and action, fostering the emergence of organizations that are more learning-oriented, critical, and adaptive.