Racial Bias in the Beautyverse: Evaluation of Augmented-Reality Beauty Filters

Riccio, Piera; Oliver, N.

doi:https://doi.org/10.1007/978-3-031-25066-8_43

Racial Bias in the Beautyverse: Evaluation of Augmented-Reality Beauty Filters

External link: https://link.springer.com/chapter/10.1007/978-3-031-25066-8_43
Publication: European Conference on Computer Vision 2022 , 13803 p. 714-721, 2023
DOI: https://doi.org/10.1007/978-3-031-25066-8_43
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This short paper proposes a preliminary and yet insightful investigation of racial biases in beauty filters techniques currently used on social media. The obtained results are a call to action for researchers in Computer Vision: such biases risk being replicated and exaggerated in the Metaverse and, as a consequence, they deserve more attention from the community.