I can't help but wonder, if user interfaces will actually be one of the last problems to be solved well by machine learning. That's because arguably user inter

I can't help but wonder, if user interfaces will actually be one of the last problems to be solved well by machine learning. That's because arguably user interfaces (and data visualizations) have been - and continue to be - a significant weakness of software as long as I can remember. If user interfaces were better, wouldn't grandmas around the world do better with computers? So if machine learning is effectively an aggregation of whatever has been done before, it would lead me to think, that the old adage of "garbage in ==> garbage out" would lead to ML generating some pretty mediocre user interfaces for a while to come. Data visualization in general is arguably also subject to the "lying with statistics" principle. So I can see ML "helping" to weaponize this lying with data, rather than illuminating the truth.