What Humans Want: Models of Preference and Reward in Minds and Machines

Brian Christian is a Research Fellow at UC Berkeley’s Center for Human-Compatible AI, where his work spans AI alignment and computational cognitive science. His research has appeared in venues like ICLR, FAccT, COLM, and PNAS and been covered by Nature and The New York Times. He is the bestselling author of three books, including Algorithms to Live By (with Tom Griffiths) and The Alignment Problem, which won the Excellence in Science Communication Award from the National Academies of Sciences, Engineering, and Medicine. He has lectured at Google DeepMind, OpenAI, Microsoft, and Meta, and advised policymakers in six countries and the UN.