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Jinsun Lee is a PhD student in the RCA Robotics Laboratory, based within the School of Design. Her research investigates AI-generated faces, model-conditioned facial representation, and the implications of AI-generated facial imagery for humanoid face design.

Through a practice-based comparative archive, she examines recurring facial characteristics and representational patterns produced under standardised prompting conditions across different image-generation models.

Rather than treating AI-generated faces as accurate representations of human populations, her work approaches them as synthetic visual artefacts shaped by model architectures, training data, and generation parameters.

Bringing together visual communication, branding, AI visual culture, and design research, her work explores how generative systems influence social legibility, facial perception, and emerging forms of visual governance.

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