The Fourth Mission of Museums in the Age of Artificial Intelligence: From Cognitive Pathway Loss to Cognitive Training Institutions

Over the past two centuries, successive technological revolutions have consistently expanded human external capabilities faster than internal cognitive structures could adapt (Mumford, 1934; Postman, 1992). While contemporary digital platforms and artificial intelligence systems dramatically increase access to information and automate reasoning processes, they simultaneously contribute to a gradual erosion of human judgment formation by compressing or bypassing cognitive pathways (Carr, 2010; Zuboff, 2019). This paper argues that museums, in the age of artificial intelligence, face a structural transformation in their societal role. Beyond preservation, exhibition, and public education, museums can be reconceptualized as cognitive training institutions—spaces in which perception, interpretation, and meaning-making are institutionally supported under conditions of technological acceleration (Hooper-Greenhill, 2000; Falk & Dierking, 2013). To clarify this transformation, the paper proposes what it conceptualizes as a Fourth Mission of museums and introduces the Five-Tian Framework as a transferable cognitive pathway that makes judgment formation explicit, sequential, and trainable. Rather than serving as an interpretive template or evaluative taxonomy, the framework articulates how understanding emerges through object encounter, drawing on traditions of object-based learning and experiential cognition without reducing interpretation to content delivery (Dewey, 1934; Hein, 1998). The paper further clarifies the normative positioning of artificial intelligence within this * This is a preprint (working paper) version of a manuscript currently under peer review. structure—not as a substitute for human judgment, but as a cognitive scaffolding mechanism that externalizes and supports interpretive processes (Vygotsky, 1978; Clark, 2008). CulturaAI is presented as an applied instrumental interface that demonstrates how these principles can be operationalized within museum contexts. Rather than opposing technological advancement, this study proposes an institutional realignment in which artificial intelligence functions as supportive infrastructure bridging accelerating external intelligence and slower human cognitive adaptation (Stiegler, 2010; Floridi, 2014). In doing so, it positions museums as essential institutions for sustaining judgment capacity and cognitive resilience in the age of artificial intelligence.