Algorithms to Live By looks at the simple, precise algorithms that computers use to solve the complex 'human' problems that we face, and discovers what they can tell us about the nature and origin of the mind.
An audiobook version can be found at here
Algorithms to Live By looks at the simple, precise algorithms that computers use to solve the complex 'human' problems that we face, and discovers what they can tell us about the nature and origin of the mind.
An audiobook version can be found at here
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Find Algorithms to Live By: The Computer Science of Human Decisions Brian Christian in PDF, EPUB, ebook, audiobook, print, or library editions.
Find Algorithms to Live By: The Computer Science of Human Decisions Brian Christian in PDF, EPUB, ebook, audiobook, print, or library editions.
2 books in catalog
Exploring the interdisciplinary boundary where computer science, philosophy, and human behavior intersect, non-fiction writing on artificial intelligence and human cognition provides essential tools for understanding modern technology. Author Brian Christian gained widespread acclaim for translating complex algorithmic concepts into practical insights for everyday life, most notably in his co-authored book Algorithms to Live By: The Computer Science of Human Decisions. His award-winning books examine how computational systems impact human decision-making, psychology, ethics, and society.
Born in 1984 in Wilmington, Delaware, Christian pursued a unique multidisciplinary education, earning undergraduate degrees in computer science and philosophy from Brown University before completing a Master of Fine Arts in poetry at the University of Washington. He later earned his DPhil at the University of Oxford and served as a Visiting Scholar and Postdoctoral Scholar at the Center for Human-Compatible AI (CHAI) at the University of California, Berkeley. Across his career, Christian's written work has appeared in publications such as The New Yorker, The Atlantic, Wired, The Wall Street Journal, The Guardian, The Paris Review, and peer-reviewed journals including Cognitive Science, PNAS, and Dædalus. He has been featured on The Daily Show and Radiolab, and has delivered lectures at major institutions including Google, Facebook, Microsoft, the Santa Fe Institute, and the London School of Economics. Based in San Francisco, his work has been translated into nineteen languages and selected for Best American Science & Nature Writing.
Christian's work bridges technical computer science, cognitive science, and humanistic philosophy through accessible, narrative-driven prose. Rather than treating computational theories as isolated academic principles, he frames algorithms and machine learning architecture as mirrors reflecting fundamental questions about human nature, morality, and cognitive limitations. His writing examines how humanity can maintain agency and alignment with ethical values as artificial systems become increasingly integrated into daily life and governance.
2 books in catalog
Exploring the interdisciplinary boundary where computer science, philosophy, and human behavior intersect, non-fiction writing on artificial intelligence and human cognition provides essential tools for understanding modern technology. Author Brian Christian gained widespread acclaim for translating complex algorithmic concepts into practical insights for everyday life, most notably in his co-authored book Algorithms to Live By: The Computer Science of Human Decisions. His award-winning books examine how computational systems impact human decision-making, psychology, ethics, and society.
Born in 1984 in Wilmington, Delaware, Christian pursued a unique multidisciplinary education, earning undergraduate degrees in computer science and philosophy from Brown University before completing a Master of Fine Arts in poetry at the University of Washington. He later earned his DPhil at the University of Oxford and served as a Visiting Scholar and Postdoctoral Scholar at the Center for Human-Compatible AI (CHAI) at the University of California, Berkeley. Across his career, Christian's written work has appeared in publications such as The New Yorker, The Atlantic, Wired, The Wall Street Journal, The Guardian, The Paris Review, and peer-reviewed journals including Cognitive Science, PNAS, and Dædalus. He has been featured on The Daily Show and Radiolab, and has delivered lectures at major institutions including Google, Facebook, Microsoft, the Santa Fe Institute, and the London School of Economics. Based in San Francisco, his work has been translated into nineteen languages and selected for Best American Science & Nature Writing.
Christian's work bridges technical computer science, cognitive science, and humanistic philosophy through accessible, narrative-driven prose. Rather than treating computational theories as isolated academic principles, he frames algorithms and machine learning architecture as mirrors reflecting fundamental questions about human nature, morality, and cognitive limitations. His writing examines how humanity can maintain agency and alignment with ethical values as artificial systems become increasingly integrated into daily life and governance.
