AI is still in its early stages and may certainly improve significantly in the coming years.
Artificial intelligence has revolutionized many different industries in recent years. It gained a lot of attention and popularity with the launch of ChatGPT, a tool capable of writing poems, solving equations and producing articles on different topics.
Architecture schools train their students so that they can respond to certain design problems with solutions based on their personal experiences, design styles and other factors. But AI is limited by its datasets, especially when there isn’t enough data, or gathering it is too resource-intensive. This is the main difference between humans and AI comes. Humans can draw on their experiences, skills and other attributes to come up with innovative solutions without being limited to specific datasets.
However, assistive tools that result in a final product might interrupt the learning process at schools. Students are supposed to learn skills by exploring different design solutions, ideas and philosophies. But architecture students might not fully engage with learning if they use assistive tools that conceal or eliminate the process.
While AI is capable of analyzing such information, it cannot truly empathize with and understand these different considerations. In addition, architecture involves collaborations among different stakeholders, from clients to interior designers, civil engineers and other experts. Although AI can engage in dialogue, it lacks the ability to engage in dynamic interactions and truly understand the intentions and experiences of different stakeholders.
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