PERSON
Brian Christian
The poet-turned-AI-researcher who documented, across three precise books, why the hardest problem in artificial intelligence is not building capable systems but specifying what we actually want them to do—and why that gap was always, at its root, a gap in human self-knowledge.
Brian Christian (b. 1984) came to artificial intelligence sideways, which is precisely why his work matters. He studied computer science and philosophy at Brown University, then took an MFA in poetry at the University of Washington, and the combination produced a writer who can read a reinforcement learning paper and a sonnet with the same quality of attention. Across three books published between 2011 and 2020, he tracked the moving boundary between what humans do and what machines do, and he did it without ever pretending the boundary is fixed. The Most Human Human (2011) emerged from his experience competing in the Turing test, where he discovered that winning the prize for most-convincingly-human confederate required not cleverness but presence—the refusal to slide into the conversational formulas that a chatbot could equally produce. Algorithms to Live By (2016, with Tom Griffiths) used computer science to reframe human decision-making and planted the seed of his central
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