Habitat [and] intelligence
This text investigates the consequences of merging the architectural product - habitats, with artificial intelligence. More specifically, it tries to answer how architecture can implement artificial intelligence to produce emergent programs through spatial reconfigurations in housing projects. Developed alongside the Public Parts project, this report addresses the development of a housing platform. In the project, the combination of AI and the built environment is sought after to empower the communal autonomy of its inhabitants. The proposed setup uses artificial intelligence as an architectural component that manages interior spaces, configured by the behaviour of the inhabitants. The problems that arise from the deployment of machine learning algorithms are also analysed, as these involve issues of collection, usage and ownership of data. Additionally, the research refers to the work of authors such as Matteo Pasquinelli, Tiziana Terranova, Molly Wright Steenson, John Frazer and the collective Laboria Cuboniks, to construct a theoretic, technical and social framework through which the proposed combination between technology and spaces is addressed and the research positioned. Referential contemporary and historic practices are also studied, situating the project relatively to these examples. Moreover, details on how AI is utilised in the project are disclosed, demonstrating how the knowledge gathered throughout the research are translated into design propositions.