Nadia Guerouaou is a cognitive neuroscientist, clinical psychologist and author specializing in the ethical, societal and psychological impacts of affective technologies and artificial intelligence.
She is currently a postdoctoral researcher at the Centre Internet et Société (CIS - CNRS, Paris) and a recipient of the PEPR eNSEMBLE fellowship. Her research at the intersection of neuroscience and digital society focuses on her of concept of "IAffectivity," exploring how generative AI models human emotions and shapes contemporary technomoral and behavioral dynamics.
Guerouaou completed her PhD in Cognitive Neuroscience through a joint affiliation with the CHRU de Lille, the FEMTO-ST Institute (CNRS, Besançon), and IRCAM, Paris (the Institute for Research and Coordination in Acoustics/Music, one of the world’s leading public research centers dedicated to musical expression, avant-garde music, and scientific acoustics). Her doctoral thesis, The "vocal filter" object, from the laboratory to the clinic: towards the anthropotechnics of our social cognitions, laid the groundwork for her pioneering work on voice transformation and its clinical applications. As a clinical psychologist, she focuses on the therapeutic use of altered speech to treat post-traumatic stress disorder (PTSD). She is the principal investigator of the TraumacoustiK clinical study (recipient of the CHRU de Lille Emergence Award) and the scientific director of the TraumaVoice clinical trial.
In 2022, she was awarded a fellowship from the Japan Society for the Promotion of Science (JSPS), enabling her to conduct cross-cultural research on the ethics of emotional vocal deepfakes at the Watanabe Laboratory for Cognitive Science (Waseda University, Tokyo).
An experienced lecturer and speaker, she regularly teaches and presents on neuroethics, the ethics of AI systems and the philosophy of innovation. She is also a frequent contributor to public debates on the societal implications of emerging technologies and is the author of the book Notre Cerveau sous Influence (Eyrolles, 2026).