Lisa Feldman Barrett

Lisa Feldman Barrett is a neuroscientist, psychologist, and author whose research has fundamentally challenged conventional understanding of how emotions work in the human brain. She is a University Distinguished Professor of Psychology at Northeastern University and holds appointments at Harvard Medical School and Massachusetts General Hospital, where she directs the Interdisciplinary Affective Science Laboratory.

Barrett is best known for the theory of constructed emotion, which she developed over decades of research and which holds that emotions are not universal, biologically hardwired responses located in specific brain regions, but are instead actively constructed by the brain based on past experience, current context, and the brain's prediction machinery. This view directly challenges the classical view of emotion as a discrete, universal response, and it has significant implications for how we understand human decision-making, social judgment, and the design of AI systems that interact with humans.

Her 2017 book How Emotions Are Made: The Secret Life of the Brain brought this theory to a general audience and became a New York Times bestseller. It argued that the brain is fundamentally a prediction machine, constantly constructing perceptions and emotional experiences from incoming sensory data filtered through a model of the world built from prior experience.

Her research has practical implications for AI design: if emotions are constructed predictions rather than fixed signals, systems that attempt to detect or respond to human emotion, including many AI applications in healthcare, customer service, and workplace monitoring, are built on a scientific foundation that is, at minimum, contested, and potentially wrong.

She is a fellow of the Association for Psychological Science, the American Psychological Association, and the Royal Society of Canada, and has received numerous research awards including a Guggenheim Fellowship. Her academic publications have been cited tens of thousands of times, and she has briefed national-level institutions on what current neuroscience says about emotion, accuracy of detection systems, and the limits of behavioral prediction. Her 2020 book Seven and a Half Lessons About the Brain extended her arguments to general readers in shorter form, and her ongoing public writing in The New York Times and Scientific American keeps the implications of constructed-emotion theory in front of policymakers and AI builders alike.

Lisa Feldman Barrett brings the neuroscience of human emotion and prediction to the AI First Principles movement. Her research directly challenges the assumptions underlying a significant class of AI applications: systems that detect, classify, or respond to human emotional states, including hiring tools, surveillance systems, customer service AI, and mental health applications.

If emotions are constructed predictions rather than discrete, detectable states, then AI systems designed to read human emotion are attempting to measure something that does not exist in the form they assume it does. This is a deeper version of the problem AI Inherits Messiness addresses: AI trained on biased or incorrect assumptions about human psychology will not just reflect those errors; it will scale them. Barrett's endorsement adds the neuroscientific dimension to the movement's case for rigor in AI design.