Current Agora resident, interdisciplinary Mexican artist Fabiola Larios, explores this particular intersection of AI and beauty with Digital Art. Larios’ artwork dissects how technologies such as AI, facial recognition and surveillance, coupled with our internet personas, contribute to a new ideal of computer-generated beauty.
Larios is one of a growing number of women AI/Machine Learning researchers and artists, using Digital Art to examine techno-political environments, whilst deconstructing the discourses around artificial intelligence and data. Being one of the few AI/Machine Learning artists in Mexico (coincidentally home to Miss Universe 2021, Andrea Meza ), Larios’ digital artworks revolve around culturally relevant topics such as identity and self-representation. Her previous work: “Internet Humans – A Selfie of the Internet”, explores machine learning and ‘selfie augmentation,’ through distorted mirror-reflections of combined social-media users performing through face-filters on social platforms.
Her current project, MissUniverseGAN examines the evolution of beauty standards from the inception of the Miss Universe pageant in 1952 to the present day. Using a Machine Learning model through image extraction, Larios’ created a dataset of the Miss Universe participants to determine the fictional future of beauty standards.
In a world where Instagram models are the new beauty queens, tweaking, modifying, and altering our self-image means the line between au natural and filtered beauty has become increasingly blurred, contributing to unrealistic beauty standards and ideals. Larios will present and interpret the results of her work during her upcoming talk, MissUniverseGan – Generated Beauty Standards, exposing us to our often distorted perceptions of reality and allowing us to ask whether beauty truly lies in the eye of the beholder?
Join us for MissUniverseGan – Generated Beauty Standards | 9 June at 18:30 GMT