Understanding Place Identity with Generative AI

by   Kee Moon Jang, et al.

Researchers are constantly leveraging new forms of data with the goal of understanding how people perceive the built environment and build the collective place identity of cities. Latest advancements in generative artificial intelligence (AI) models have enabled the production of realistic representations learned from vast amounts of data. In this study, we aim to test the potential of generative AI as the source of textual and visual information in capturing the place identity of cities assessed by filtered descriptions and images. We asked questions on the place identity of a set of 31 global cities to two generative AI models, ChatGPT and DALL-E2. Since generative AI has raised ethical concerns regarding its trustworthiness, we performed cross-validation to examine whether the results show similar patterns to real urban settings. In particular, we compared the outputs with Wikipedia data for text and images searched from Google for image. Our results indicate that generative AI models have the potential to capture the collective image of cities that can make them distinguishable. This study is among the first attempts to explore the capabilities of generative AI in understanding human perceptions of the built environment. It contributes to urban design literature by discussing future research opportunities and potential limitations.


page 2

page 5


Urban Visual Intelligence: Studying Cities with AI and Street-level Imagery

The visual dimension of cities has been a fundamental subject in urban s...

Towards Understanding the Interplay of Generative Artificial Intelligence and the Internet

The rapid adoption of generative Artificial Intelligence (AI) tools that...

An Empirical Analysis of AI Contributions to Sustainable Cities (SDG11)

Artificial Intelligence (AI) presents opportunities to develop tools and...

Generative AI in Mafia-like Game Simulation

In this research, we explore the efficacy and potential of Generative AI...

Shall androids dream of genocides? How generative AI can change the future of memorialization of mass atrocities

The memorialization of mass atrocities such as war crimes and genocides ...

DALLE-URBAN: Capturing the urban design expertise of large text to image transformers

Automatically converting text descriptions into images using transformer...

How will AI and automation transform society and cities?

Against the backdrop of rising anxiety and discussions on the impact of ...

Please sign up or login with your details

Forgot password? Click here to reset