Eidetic Buildings

Abstract

Eidetic Buildings are a series of architectural objects at the intersection of artificial intelligence, memory, and authorship. By leveraging a curated repository of 3D models coupled with Generative Adversarial Networks, a symbiotic dialogue with AI expands creative boundaries and fundamentally questions traditional concepts of originality.

AI’s capacity to reconfigure forms from latent data transforms it from a tool into a quasi-subject that redefines the design landscape.

Drawing on frameworks from Jung’s collective unconscious to Michel Serres’s quasi-object, this approach parallels Warburg’s stratified archive, as digital processes become generative of architectural visions rather than simply mimetic.

As the boundaries between designer and machine dissolve, questions of creative agency and accountability come to the fore, inviting ethical, aesthetic, and theoretical considerations, and reimagining design’s future. In this post-digital paradigm, architecture becomes a process of shared authorship, blurring divisions between organic and synthetic creation.

Keywords: collective authorship, technical consciousness, architectural agency