13 Must-Read Books About Artificial Intelligence for 2020, According to 3 AI Pros

That degree of ubiquity -- not to mention AI's potential to upend the future of work -- means even tech agnostics would benefit from at least a working knowledge of its concepts. At the same time, AI's ever-growing complexity means practitioners need to know the wheat from the chaff when it comes to practical application how-to's. To that end, we asked three AI experts to pick some of their favorite books about artificial intelligence. Their selections range from a highly technical consideration of AI's so-called black box problem to a historical overview of machine learning; from a sober counterpoint to the field's deep-learning fixation to a thoughtful critique of algorithm bias. This book provides a wider framework than just deep learning, which is the hot thing now. Two things to bear in mind: People should know about the different tribes, as the author calls them, and they should also understand that most solutions are going to be ensemble systems, meaning it's not going to be one-tribe-takes-all.