The Alignment Problem: Machine Learning and Human Values Paperback - 2021
by Brian Christian
Reader reviews for The Alignment Problem: Machine Learning and Human Values
Review summary
Readers broadly praised The Alignment Problem as a deeply researched, lucid survey of modern machine learning and its ethical pitfalls, weaving clear explanations with vivid anecdotes and insights from psychology and neuroscience. Many lauded its treatment of bias, brittleness, and reinforcement learning, and appreciated its balanced, cautiously optimistic stance on AI safety. Criticisms centered on length and structure—several found it meandering or more a general ML compendium than a tight study of alignment—and some noted parts feel dated or light on practical solutions. Despite caveats, it’s widely recommended as an accessible yet substantive primer for newcomers and a stimulating synthesis for practitioners.
Readers say this book is:
well-researchedinformation-denseaccessiblethought-provokinginterdisciplinaryengagingcautiously optimisticunevenoverlongoccasionally datedWrite a review for this book
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From the publisher
Details
- Title The Alignment Problem: Machine Learning and Human Values
- Author Brian Christian
- Binding Paperback
- Pages 496
- Volumes 1
- Language ENG
- Publisher W. W. Norton & Company
- Publication date 2021-10-05
- ISBN 9780393868333 / 0393868338
- Weight 0.85 lbs (0.39 kg)
- Dimensions 8.19 x 5.43 x 1.26 in (20.80 x 13.79 x 3.20 cm)
- Category Science
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