Yeah, this is a valid point, if this is the exact case or not I don't know, but a lot of people don't realize a lot of the weird biases that can appear in the training data.

Like that AI trained to detect ig a mole was cancer or not. A lot of the training data that was cancer had rulers in them. So the AI learned rulers are cancerous.

I could easily see something stupid like angle the picture was taken from being something the AI erroniously assumed to be useful for determining biological sex in this case.