SOURCE-LINKED INTELLIGENCE

Beauty is in the AI of the beholder: MLLMs systematically overrate facial attractiveness

arXiv · AI, language, vision and robotics · article · Sep 2, 2026 · UTC

Beauty assessments from Multimodal Large Language Models (MLLMs) are increasingly popular amongst users, companies, and aestheticians. This raises the question of whether these AI models can accurately reflect human judgments of attractiveness. In a pre- registered exploratory study, we compared the attractiveness ratings of 2,513 human participants to four widely used commercial AI models: Claude, Gemini, GPT, and Grok. Results showed that MLLMs systematically rate faces more favourably and within a narrower range than humans and, at the time of study, do not reproduce human ratings in absolu

Read original source ↗ Open in workspace

recordType

paper

region

Global