Miguel Villegas on AI's Challenges for Architecture
Miguel Villegas argues that applying AI to architecture is problematic because the discipline's core components—construction, space, and people—are not yet adequately digitized. He defines architecture as "the construction of space for people" and notes that without material production, there is no architecture. For construction, BIM models could systematize architectural knowledge, but good models are scarce. Space is poorly informatized; only the Topologic framework addresses informational space beyond geometry. The human facet introduces "wicked problems" that resist algorithmic solutions. Villegas's PhD thesis, "Informational Architecture," explores these issues. This is the first in a series of articles.
Key facts
- Miguel Villegas defines architecture as 'the construction of space for people.'
- He argues AI cannot be applied to architecture without digitizing construction, space, and human factors.
- BIM models could help systematize architectural knowledge but are insufficient in quantity and quality.
- Topologic is the only framework that models space informationally, beyond geometry.
- Architectural design involves 'wicked problems' that are ill-defined and context-dependent.
- Villegas's PhD thesis 'Informational Architecture' was submitted on July 21, 2022.
- The article references BIMrras podcast episode 146 on artificial intelligence.
- The cover image was AI-generated with the prompt 'Human-assisting machine...'.
Entities
Artists
- Miguel Villegas Ballesta
Institutions
- BIMrras
- Topologic
- Universidad de Sevilla
Sources
- Veredes —