Artificial Ignorance

Artificial Intelligence is advancing at an unprecedented pace, driven by scale, data abundance, and concentrated computational infrastructure. Yet our theoretical understanding of intelligence has not progressed proportionally. This essay argues that the central risk is not artificial general intelligence, but artificial ignorance: the gradual normalization of delegating judgment to systems we neither fully understand nor rigorously evaluate. The limits of computation, formal systems, and mathematical representation suggest that scaling alone may not exhaust the phenomenon of intelligence. Preserving intellectual sovereignty requires epistemic responsibility alongside technological progress.