Lights-off Data Factory: Joint Modeling of Semantic Autonomy and Governance Resilience

Abstract

Autonomous data governance emerges from the interaction of semantic reasoning, uncertainty management, and enforcement resilience. Prior work in complex systems and uncertainty modeling suggests that such interactions are nonlinear and cannot be captured through marginal metrics alone. This paper introduces a copula-based framework for jointly modeling semantic autonomy (RAQ), governance resilience (REQ), and maturity phase transition (SST). Using large-scale simulation results, we demonstrate nonlinear collapse behavior in partially autonomous systems and show that true autonomy emerges only beyond a critical joint threshold.