# Brian Christian

Brian Christian (born 1984 in Wilmington, Delaware) is an American non-fiction author, poet, programmer and researcher, best known for a bestselling series of books about the human implications of computer science, including The Most Human Human (2011), Algorithms to Live By (2016), and The Alignment Problem (2020).
Christian competed as a "confederate" in the 2009 Loebner Prize competition, attempting to seem "more human" than the humans taking the test, and succeeded. The book he wrote about the experience, The Most Human Human, became a Wall Street Journal best-seller, a New York Times editors' choice, and a New Yorker favorite book of the year. He was interviewed by Jon Stewart on The Daily Show on March 8, 2011.
In 2016, Christian collaborated with cognitive scientist Tom Griffiths on the book Algorithms to Live By, which became the #1 bestselling nonfiction book on Audible and was named an Amazon best science book of the year and an MIT Technology Review best book of the year.
His awards and honors include publication in The Best American Science and Nature Writing and fellowships at the Bread Loaf Writers' Conference, Yaddo, and MacDowell. In 2016 Christian was named a Laureate of the San Francisco Public Library.
In 2020, Christian published his third book of nonfiction, The Alignment Problem, which looks at the rise of the ethics and safety movement in machine learning through historical research and the stories of approximately 100 researchers. The Alignment Problem was named a finalist for the Los Angeles Times Book Prize for best science and technology book of the year. The New York Times in 2024 named The Alignment Problem one of the "5 Best Books About Artificial Intelligence," writing: "If you're going to read one book on artificial intelligence, this is the one." For his work on The Alignment Problem, Christian received the Eric and Wendy Schmidt Award for Excellence in Science Communication, given by The National Academies of Sciences, Engineering, and Medicine in partnership with Schmidt Futures.

## Early life and education

Christian is a native of Little Silver, New Jersey. He attended high school at High Technology High School in Lincroft, NJ.
Christian holds a degree from Brown University in computer science and philosophy, and an MFA in poetry from the University of Washington.
Beginning in 2012, Christian has been a visiting scholar at the University of California, Berkeley. At UC Berkeley, he is affiliated with a number of research groups, including the Institute of Cognitive and Brain Sciences, the Center for Information Technology Research in the Interest of Society, the Center for Human-Compatible Artificial Intelligence, and the Simons Institute for the Theory of Computing. In 2023, he was awarded a Clarendon Scholarship to study experimental psychology at Lincoln College at the University of Oxford.

## Influence

In 2010, film director Michael Langan adapted Christian's poem "Heliotropes" into a short film of the same name, which was published in the final issue of Wholphin magazine.
In 2014, Vanity Fair magazine reported that The Most Human Human was the "night-table reading" of Elon Musk.
Reading The Most Human Human inspired the playwright Jordan Harrison to write the play Marjorie Prime. The play was a finalist for the Pulitzer Prize and was released as a feature film in 2017.
The Most Human Human also inspired filmmaker Tommy Pallotta's 2018 documentary More Human Than Human, in which Christian appears.
In 2018, Algorithms to Live By was featured as an answer on the game show Jeopardy!.
In 2021, Microsoft CEO Satya Nadella wrote in Fast Company that The Alignment Problem was one of the "5 books that inspired" him that year.
Writer Peter Brown has cited The Most Human Human as an inspiration for his book series The Wild Robot, which was adapted into the 2024 film of the same name.

## Books

* The Most Human Human, 2011, Doubleday, ISBN 978-0307476708
* Algorithms to Live By, 2016, Henry Holt, ISBN 978-1250118363
* The Alignment Problem, 2020, Norton, ISBN 978-0393635829