They are deemed to be black-box solutions, lacking explainability. Thus they are difficult to communicate about, except through the strength of their results. Optimal design of ANN is still an art: it requires expertise and extensive experimentation. It can be difficult to handle a large number of variables (especially the rich nominal attributes). It takes large data sets to train an ANN.
