title: GANism: When AI Rethinks the Borders of Architecture. The Cases of ArchiGAN and Deep Himmelb(l)au.
abstract: This paper aims to shed light on the challenges and limitations of GANism in contemporary architectural design. It focuses on two specific experiments carried out using different generative adversarial networks (GANs): ArchiGAN by Stanislas Chaillou, on the one hand, and Deep Himmelb(l)au by Coop Himmelb(l)au, on the other.This research is based on an in-depth literature review on the use of artificial intelligence in architecture today, at the dawn of the digital era. It also includes a visual 
journal: Architecture Image Studies