Brian Christian

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.

Career & Background

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.

Writing Style & Themes

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.

Major Works

• Algorithms to Live By: The Computer Science of Human Decisions — Co-authored with cognitive scientist Tom Griffiths, this popular science book demonstrates how computer algorithms can solve human decision-making problems, ranging from searching and sorting to optimal stopping and scheduling. The book was a #1 Audible bestseller, an Amazon Best Science Book of the Year, and an MIT Technology Review Best Book of the Year.
• The Alignment Problem: Machine Learning and Human Values — This comprehensive investigation details the technical and ethical challenges of ensuring artificial intelligence systems remain aligned with human values, safety, and intentions. It traces the history and progress of machine learning while analyzing bias, reinforcement learning, and safety research.
• The Most Human Human — Christian's debut non-fiction book explores his experience participating as a human confederate in the Turing Test at the Loebner Prize competition. The work investigates artificial intelligence, natural language processing, and what truly distinguishes human intelligence from machine behavior. It was named a New York Times Editors' Choice, a Wall Street Journal bestseller, and a New Yorker Favorite Book of the Year.