
The staggering speed at which enterprise systems have adopted neural network architectures suggests a blind faith in statistical probability that far outpaces the actual cognitive understanding of the underlying internal logic. Black box AI integration represents a profound leap in technological capability, moving away from explicit instruction toward implicit pattern recognition. This review explores the current state of these opaque










