The Book of Why, by Judea Pearl

Our April selection is a timely, accessible and popular introduction to the topic of causality.

Written by a leading computer scientist (in collaboration with science writer Dana Mackenzie), it describes, in an easily readable form, some of the recent advances in the field of causal inference and, more generally, in the evolution of our understanding of the very idea of causality, placing them in a historical context, as well as looking towards the future.

Among the book's many other merits is the fact that it provides a much-needed corrective to some of the current hype associated with AI — upending the notion (tacitly accepted in certain "data science" circles) that merely extracting patterns from data, without any understanding of the underlying cause-and-effect relationships among the variables, amounts to the pinnacle of machine intelligence.

https://www.goodreads.com/book/show/36204378-the-book-of-why

https://www.torontopubliclibrary.ca/search.jsp?Ntt=Book+of+why+Judea+pearl

Here, you can start reading (the first chapters of) the book immediately:
https://toronto.overdrive.com/media/3469805
(Click on "Read a sample")