It provides a wide background connecting ML to neuroscience, cognitive science, psychology, ethics, and behavioral economics that will blow their mind.It's also very detailed, screaming at the reader "I did the research, I went where no one else dared to go!". If you want to spark the ML interest in anyone who hasn't been paying attention to this field, give them this book.
It's both accessible and substantive, presenting complex ideas in a digestible form without dumbing them down. It presents its history, challenges, what can be done, and what can't be done (yet). The author did vast research in multiple domains and it seems like he could neither build a cohesive narration that could connect all of it nor leave anything out.This book is probably the best intro to machine learning space for a non-engineer I've read. There is a great book trapped inside this good book, waiting for a skillful editor to carve it out. Urgent and fascinating, this is an accessible primer to the most important issue facing AI researchers today.
If we stand by, we face a future with unregulated algorithms that propagate our biases - and worse - violate our most sacred values. From the AI program which cheats at computer games to the sexist algorithm behind Google Translate, bestselling author Brian Christian explains how, as AI develops, we rapidly approach a collision between artificial intelligence and ethics. This conundrum - dubbed 'The Alignment Problem' by experts - is the subject of this timely and important book. But as algorithms make ever more decisions on our behalf, how do we ensure they do what we want? And fairly? This is the book on artificial intelligence we need right now.' Mike Krieger, cofounder of InstagramĪrtificial intelligence is rapidly dominating every aspect of our modern lives influencing the news we consume, whether we get a mortgage, and even which friends wish us happy birthday.
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