Professor in Residence, Department of Architecture, GSD, Harvard University, Cambridge MA, USA
As contemporary artificial intelligence (AI) tools are showing the ability to decipher intricate systems through the identification of correlations within vast datasets, the capacity to record, store, and utilize this data nowadays takes a central position in the cultural debate of an increasing number of disciplines. Architectural scholars, however, seem more interested in the explicit expression of AI, such as the development of new tools, rather than in how AI can challenge the ontology and epistemology of architectural design. Discussion of the research of scholars like Maurizio Ferraris, or Shoshanna Zuboff who investigates the societal consequences of data-harvesting practices, may reveal an ongoing change in the accumulation, preservation, and exploitation processes of architectural knowledge. This research intends to explore how one of the raw materials on which AI is nurtured, namely the abundance of data, has the potential to shape and guide forthcoming developments in architectural design.