Brian Christian author photo
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Brian Christian

출생: July 28, 1984 – Wilmington, Delaware, United States

Brian Christian is an American author whose work explores artificial intelligence, language, computation, and human decision-making. He is best known for The Most Human Human, the international bestseller Algorithms to Live By, and The Alignment Problem, books that have helped bring complex questions about technology and values to broad audiences.

전기 및 작가의 여정

Brian Christian emerged as a distinctive interpreter of computing by refusing to treat code as a sealed technical domain. Born in Wilmington, Delaware, he studied computer science and philosophy at Brown University, then poetry and nonfiction at the University of Washington, before later deepening his work in cognitive science and machine learning at the University of Oxford, where he became a DPhil candidate. That blend of engineering, literature, and philosophy shaped an early turning point in his career: his experience as a human confederate in the Turing test competition became the basis for The Most Human Human, the book that first established him as a public-facing writer on technology and human identity. ((https://brianchristian.org/bio-contact/))

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quote
There has never been a richer or more fascinating—or more urgent—time to pursue this particular set of questions
-Research
quote
True care must include, crucially, empowering people to care for each other, and also to no longer need care
-Computational Frameworks for Human Care
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Rather than picturing the human mind as an isolated computer, we can imagine each mind as a node in a vast distributed system
-How do Humans Overcome Individual Computational Limitations by Working Together?
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The problem of choosing what to forget is an instance of what computer scientists term caching
-Caching Algorithms and Rational Models of Memory
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We conclude with actionable next steps for policymakers, technologists, and standards bodies to consider in consultation with the public
-Personhood Credentials
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We show that this access to the responses of a blinded replica enables fairer decisions
-Self-Blinding and Counterfactual Self-Simulation Mitigate Biases and Sycophancy in Large Language Models
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Because RMs are initialized from LLMs, they inherit representations that shape their behavior, but the nature and extent of this influence remain understudied
-Reward Models Inherit Value Biases from Pretraining
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Reward modeling has emerged as a crucial component in aligning large language models with human values
-Reward Model Interpretability via Optimal and Pessimal Tokens

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Yann LeCun's Essential Reads for AI Brilliance
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Yann LeCun's Essential Reads for AI Brilliance

Meta's Chief AI Scientist's favorite books on intelligence, creativity, and human potential.

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Examine tech's impact on human behavior

This learning plan is essential for anyone seeking to understand how digital technologies are fundamentally reshaping human behavior, society, and consciousness. It's particularly valuable for professionals working in technology, policymakers, educators, and thoughtful citizens who want to critically engage with the ethical and philosophical dimensions of our increasingly AI-driven world. By examining the intersection of psychology, ethics, and technology, learners will gain the analytical tools needed to make informed decisions about technology's role in their lives and society.

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커뮤니티 의견

"Brian Christian is a fine writer and has produced a fascinating book"

Martin Rees

"Brian Christian is the bestselling author of three acclaimed books of nonfiction about the human implications of computer science"

National Academies

"Brian Christian has spent the past several years considering this very question"

Analytics Magazine

"Brian Christian takes us on a technically fluent (yet widely accessible) journey through the most important questions facing AI and humanity"

Mike Krieger

"Brian Christian is an acclaimed American author, now at Oxford as a DPhil candidate"

Oxford Alumni

"In The Alignment Problem, Brian Christian masterfully surveys the 'AI fairness' community"

Cathy O'Neil

"MFA alum Brian Christian explores the tricky dynamics between human behavior and artificial intelligence"

UW Magazine

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117

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