Deepfake smiles matter less-the psychological and neural impact of presumed AI-generated faces.

ABSTRACT: High-quality AI-generated portraits ("deepfakes") are becoming increasingly prevalent. Understanding the responses they evoke in perceivers is crucial in assessing their societal implications. Here we investigate the impact of the belief that depicted persons are real or deepfakes on psychological and neural measures of human face perception. Using EEG, we tracked participants' (N = 30) brain responses to real faces showing positive, neutral, and negative expressions, after being informed that they are either real or fake. Smiling faces marked as fake appeared less positive, as reflected in expression ratings, and induced slower evaluations. Whereas presumed real smiles elicited canonical emotion effects with differences relative to neutral faces in the P1 and N170 components (markers of e

SUBMITTER: Eiserbeck A 

PROVIDER: S-EPMC10522659 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature