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Other Work

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Neural Fad reimagines Tokyo street fashion history to examine the relationship between AI and memory.


In post-war Japan, distinctive magazines and television cultivated an aspirational youth culture that gave rise to unique fashion subcultures at different train stations around Tokyo. Inspired by the rebellious spirit of each generation and their projections towards an imagined future, Kusano produces records of subcultures that never actually existed.


Reimagining the rich vocabulary and history of Tokyo street fashion through AI, the collection takes the viewer across and beyond the post-war decades of Japanese fashion history —  from the Moga and Mobo of the 1940s to the Japanese hippies known as the Fūten Tribe, the Karasu Tribe of the 90s and the Gyaru and Decora fashion of the late 90s and early 2000 — to present Tokyo street fashion as imagined beyond time. 


Through this collaboration between AI and Japanese street fashion archives that she herself contributed to as a street photographer of Harajuku fashion,  Kusano uses emerging technologies to offer a retro-futuristic intervention into the landscape of Tokyo street fashion. 

Neural Fadは、AIと記憶を交えて、東京のストリートファッションの歴史を新しい視点から探求しています。





Emi Kusano

Tokyo-based multidisciplinary artist who explores retro-futurism, accelerationism, and nostalgia for Japanese youth culture and anime. Her current career began as a street photographer in Harajuku, Tokyo, and has expanded to encompass everything from installations to music. Currently, Kusano is pioneering in the field of post-photography, an art form that blends reality and fiction, combining old and new media to create a new visual language beyond the traditional boundaries of photography. Her groundbreaking work was selected as the first AI cover for WWD Japan and she continues to shape the future as a member of the Japanese Government’s Cultural  Council. In addition, the anime project Shinsei Galverse, which she co-founded, has achieved record-breaking success and is further accelerating anime creation within the community using AI.

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