UBC Graduate Research

Counterfeiting Daily : An Exploration of the use of Generative Adversarial Neural Networks in the Architectural Design Process Wallish, Sean

Abstract

Throughout time architectural representation has changed greatly from the tools it is created with, to the contexts it is created in. In the digital world the creation and consumption of architectural ideas has shifted as the prevalence of data has allowed for architecture to take on new forms. It has also created an over reliance on technology without proper understanding of how they function and the biases they carry with them. As Artificial Intelligence develops, and architecture processes are further augmented by role of the machine, it is important to understand how technology produces. The following project explores the idea of architectural representation as cultural data and the possibility for algorithms to create based on this data. The project starts by tracing the history of technology and architecture from the introduction of the pencil, to the invention of photography, to the digital world that is now so prevalent. It looks at images as a form of cultural and architectural data and explores the possibility of AI creating images. It questions what it means for an algorithm to create without knowledge of the cultural histories that the image carries. It hypothesizes the role of the architect in a world where optimization has taken over many traditional tasks and leaves the architect to work in realms that cannot be optimized like the realm of style and the historical, cultural, ethical, and political realms that are tied to it.

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Attribution-NonCommercial-NoDerivatives 4.0 International

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