posted on 2023-09-12, 03:07authored byQuintin Blaas, Antony Pelosi, Andre BrownAndre Brown
The research in this paper is presented from the perspective of a designer interested in investigating using artificial intelligence, specifically machine learning, to act as a co-pilot during architectural design phases. Significant recent interest has been evident in, for instance, rapidly developing text-to-image and intelligent chat AI areas. However, we have a particular focus and have undertaken a series of feasibility experiments to explore the potential for enabling a designer's exploitation of machine learning, and consequently in effect, using machine learning as a co-designer. We conclude that the industry would need to develop certain protocols to take advantage of the opportunities available through such an AI-assisted approach.
History
Preferred citation
Blaas, Q., Pelosi, A. & Brown, A. (2023, September). Reconsidering Artificial Intelligence as Co-Designer. In Digital Design Reconsidered Computer Aided Architectural Design in Europe (eCAADe 2023), Graz, Austria (2 pp. 559-566). eCAADe.
Conference name
Computer Aided Architectural Design in Europe (eCAADe 2023)