Artificial Intelligence as Cognitive Infrastructure: Toward a Computational Mode of Knowledge Production

Abstract

Artificial intelligence increasingly functions as more than a computational tool. As AI systems participate in modeling, inference, and prediction, they contribute to processes through which knowledge is produced, validated, and circulated. This paper conceptualizes artificial intelligence as cognitive infrastructure and examines how AI-enabled capabilities reorganize contemporary knowledge production. Drawing on research on hybrid intelligence, cognitive automation, and computational epistemology, the study analyzes how AI systems augment reasoning, distribute cognitive labor, and transform decision-making across scientific and organizational contexts.By approaching artificial intelligence as cognitive infrastructure, the paper identifies an emerging computational mode of knowledge production in which human and machine intelligences interact within shared epistemic environments. Rather than framing AI as replacement technology, this framework highlights its infrastructural role in shaping how problems are formulated and solutions are evaluated. The study contributes to interdisciplinary research on AI by clarifying how computational systems participate in the evolution of cognitive and epistemic practices.