They are not 'faulty', they have been fed wrong training data.

This is the most important aspect of any AI - it's only as good as the training dataset is. If you don't know the dataset, you know nothing about the AI.

That's why every claim of 'super efficient AI' need to be investigated deeper. But that goes against line-goes-up principle. So don't expect that to happen a lot.