Abstract

Not only has artificial intelligence become ingrained in our everyday lives, but it has also been put to beneficial use in a wide variety of scholarly fields. Over the course of the past few decades, artificial intelligence has developed into an essential component of the optimization strategies utilized in the urban planning and design field. With the diversification and development of algorithms, although artificial intelligence has not yet begun to visually shape our cities, it has begun to be utilized as a design and planning derivative from urban design to planning scale, particularly in the context of smart cities. On the other hand, thanks to advancements in areas of machine learning, neural networks, deep learning, natural language processing, and computer vision, artificial intelligence can now generate authentic images based on texts that are provided. In this study, the perspectives of future cities obtained by text-to-image generation algorithms are analyzed. The visuals obtained with the open-source Stable Diffusion artificial intelligence's predictions about the future are presented in conjunction with numerous AI related contemporary design terms; smart city, sustainability, eco-design, biomimicry, and topology optimization. At each stage of history, the image of the cities of the future first appeared in literature and art before becoming a reality. Synthesizing contemporary works of art and literature in the millions of images that make up artificial intelligence's libraries today can inspire designers to construct our future.

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