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id architectural_intelligence2023_16
authors Philip F. Yuan
year 2023
title Toward a generative AI-augmented design era
source Architectural Intelligence Journal
doi https://doi.org/https://doi.org/10.1007/s44223-023-00038-9
summary With the rapid development of Artificial Intelligence (AI), the relationship between humans and machines has become a significant concern. One view suggests that AI will possess subjectivity: Matias del Campo emphasises that, unlike traditional tools that teach machines how to perform, artificial intelligence teaches machines how to learn (Campo, 2022). According to him, AI has the capability and awareness to recognise the world; Neil Leach et al. argue that AI will replace the majority of architects, resulting in widespread unemployment (Leach, 2021). Other opinions hold that AI is unconscious, incapable of thought, and identical to tools such as cellular automata machines, parameterisation, etc. According to Mario Carpo, the data-driven AI employs iterative optimisation to solve problems, which must be quantifiable and amenable to optimisation. Therefore, AI’s role as a tool is limited to measurable phenomena and factors (Carpo, 2023).
series Architectural Intelligence
email
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