In a non-linear system the former is often easier than the latter. For example we know how planets “work” from the laws of motion. But planetary orbits involving > 2 bodies are non-linear, and predicting their motion far into the future is surprisingly difficult.
Neural networks are the same. They’re actually quite simple, it’s all undergraduate maths and statistics. But because they’re non-linear systems, predicting their behaviour is practically impossible.