Celeste Kidd

Celeste Kidd is a professor of psychology at UC Berkeley who investigates belief formation with computational models and behavioral experiments. Her lab has studied the evolutionary origins of human intelligence, how human access to objective truth is limited by certain psychological constraints, and the nature of core human cognitive capacities like curiosity and humility. Recently, Kidd's lab has focused on how new technologies interact with basic tenants of human psychology—the subject of Kidd's 2023 Science perspective, “How AI can distort human beliefs”. Kidd was named one of TIME Magazine’s Persons of the Year in 2017 and gave the opening keynote at the world’s leading AI research conference NeurIPS in 2019. She is an Association for Psychological Science Fellow and a recipient of awards that include the Janet Taylor Spence Award for transformative early career contributions in psychology, the Glushko Dissertation Prize, and the Cognitive Science Society Computational Modeling Prize. Kidd Lab lab research has received funding from NSF, DARPA, Google, the Jacobs Foundation, the Walton Family Foundation, the Human Frontiers Science Program, the Templeton Foundation, the Hellman Foundation, and many others, and been featured widely by the international press including on the BBC, NPR, Scientific American, MIT Tech Review, and the New York Times.