The Importance of GAN Networks in Graphic and Creative Learning Processes Associated with Architecture

The current ability of AI to create shapes or images has evolved enormously due to the machine learning technology based on GAN (Generative Adversarial Neural Networks). Thanks to it, we are witnessing the emergence of applications capable of generating new elements following the user`s instructions. The development of this technology poses a paradigm shift to which we must adapt as it has the potential to transform any human activity. This includes the way in which creative processes related to art or architecture are approached, so its benefits will depend to a large extent on the use that we are able to give it. This text aims to bring together concepts related to the processes of automatic learning based on generative networks, with the intention of studying its usefulness, in the belief that their knowledge will prevent them from becoming a future threat to space creators. At the same time, we investigate the role that technology in general and Artificial Intelligence in particular can play in architectural design and make a general review of the technological resources related to AI that are already used in the daily practice of architecture.