AI-Augmented Judgment Architects - A Role-Level Theory of Epistemic Commitment in Human–AI Systems

Abstract As artificial intelligence systems increasingly dominate analysis, prediction, and generative tasks, a structural reconfiguration of human roles is underway. This paper argues that the critical human function in AI-augmented systems is no longer production or optimization, but epistemic judgment—the capacity to commit to beliefs, actions, and consequences under uncertainty and irreversibility. Building upon the Judgment-Centric Epistemic Niche (J-CEN) framework, this paper introduces the concept of AI-Augmented Judgment Architects as a distinct professional role emerging in the Cognitive Split Era (CSE). Unlike traditional experts or decision-makers, Judgment Architects operate as responsibility-bearing agents who design, validate, and govern AI-mediated systems through epistemic commitment rather than computational authority. Positioned within the broader macro-framework of the Co-Evolutionary Science of Intelligence (CESI) and grounded in Cognitive Architectonics (CAX) and Cognitive Architecture Engineering (CArchE), this paper articulates Judgment Architecture as a non-substitutable human function. It defines the role’s epistemic foundations, functional boundaries, and governance implications, and explains why this role is resistant to automation despite deep AI augmentation. The paper concludes that AI-Augmented Judgment Architects represent a new cognitive species boundary within intelligent systems—one that anchors responsibility, preserves agency, and stabilizes socio-technical evolution in the age of artificial intelligence.