From Nielson Norman Group: https://www.nngroup.com/articles/machine-learning-ux
Summary: In a study of people interacting with systems built on machine-learning algorithms, users had weak mental models and difficulties making the UI do what they want.
We live in a world flooded by information. It’s harder and harder for us to keep track of it or to manually curate it for others; luckily, modern data science can sort through the vast amounts of information and surface those items that are relevant to us.
Machine-learning algorithms rely on user knowledge and patterns observed in the data to make inferences and suggestions about what we may like or be interested in. With machine-learning technologies becoming more and more accessible to developers, there’s a push for companies to take advantage of these algorithms to improve their products and their users’ experience.
Typical uses of such artificial-intelligence (AI) technologies for UX purposes include: