Undergraduate Research

AI Generated Beauty: An Investigation of Same Face Syndrome

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Abstract

AI is being used across the fashion industry to market products faster, serve customers better, and develop intelligent advertising. In fact, the world of beauty is transforming at a record pace with the use of make-up correcting apps and face-altering filters often resulting in 'same face syndrome.' The purpose of this exploratory study was to determine students' attitudes and use of AI in generating images of ideal beauty. A pre- and post-test design was used whereby an in-class activity served as the intervention. Using their personal device and Stable Diffusion, students enrolled in a Social Psychology of Dress course created images of an ideal face using the text to image function. Unpaired t-tests revealed no significant differences in attitudes toward AI before or after the in-class activity. Students did prefer a range of different looks and believed AI may create unrealistic and harmful beauty standards. 

Keywords: AI, attitudes, beauty standards

How to Cite:

Castro, C. & Crutsinger, C. A., (2025) “AI Generated Beauty: An Investigation of Same Face Syndrome”, International Textile and Apparel Association Annual Conference Proceedings 82(1). doi: https://doi.org/10.31274/itaa.21903