There is work in progress for understanding the content of a neural network and avoid this "black box" effect. This is still far from reached but there are some advances. See [0] for example.
Also, remember that AI includes more than NN. You can use some other models, as a Linear Regression or a Random Forest which are perfectly explainable.
Also, remember that AI includes more than NN. You can use some other models, as a Linear Regression or a Random Forest which are perfectly explainable.
[0] https://christophm.github.io/interpretable-ml-book/neural-ne...