Matias del Campo & Sandra Manninger


A{AI} - Architecture and Artificial Intelligence



The rise of Artificial Intelligence in recent years have posed a challenge to the architectural  community. How will this novel technology impact our profession? This Thesis section interrogates the rise of AI from two distinct directions: The implication for the discourse of the discipline and the technical know how to make an impact as an architect in the emerging ecology of AI applications.

Architecture students learn about the nature of their discipline primarily through ingesting thousands and thousands of images. Similar to Neural Networks students experience a training by an incriminator (in this case the Architecture Faculty) as of how to differentiate between different styles, architects and exemplary projects. Considering this, it is apparent that the discipline will experience developments which are currently visible in areas like medical diagnosis, accounting, banking and law, who employ similar techniques of learning. The question remains as of how much human agency and creativity can be emulated by Artificial Intelligence - or if this is at all a goal. The provocation in this thesis section pertains to the question wither AI’s are able to develop an individual and novel sensibility. Can AI’s be creative? Which impacts does this question have to the discipline? Does it produce genuinely new architectural solutions?

In close collaboration with Michigan Robotics students learned how to program their own Neural Networks, and Methods to train them to perform specific tasks. This training is designed to inform students profoundly about the workings of AI applications, including a novel technique, exclusively developed at Taubman college in collaboration with Michigan robotics, that involves the individual student’s ideas, desires and sensibilities in order to train an AI to produce architectural results in 3D.