Reconsidering Artificial Intelligence as Co-Designer

• DOI: 10.52842/conf.ecaade.2023.2.559
• Publication Date: 2023-12-10T04:42:51Z
• Authors: Quintin Blaas; Antony Pelosi; Andre 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.