# Generative AI May Prefer to Present National-level Characteristics of Cities Based on Stereotypical Geographic Impressions at the Continental Level

arXiv: https://arxiv.org/abs/2310.04897 · HTML: https://mlsanity.com/paper/2310.04897/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 9 of its 20 references that are in the map.
- First posted on arXiv 7 Oct 2023.

## Builds on (most cited first, 9 of 9)

- [Deep Residual Learning for Image Recognition](https://mlsanity.com/paper/1512.03385/) (2015)
- [ChatGPT is not all you need. A State of the Art Review of large Generative AI models](https://mlsanity.com/paper/2301.04655/) (2023)
- [GPT4GEO: How a Language Model Sees the World's Geography](https://mlsanity.com/paper/2306.00020/) (2023)
- [Biases in Generative Art -- A Causal Look from the Lens of Art History](https://mlsanity.com/paper/2010.13266/) (2020)
- [Hi, my name is Martha: Using names to measure and mitigate bias in generative dialogue models](https://mlsanity.com/paper/2109.03300/) (2021)
- [Toward General Design Principles for Generative AI Applications](https://mlsanity.com/paper/2301.05578/) (2023)
- [The Ethics of AI-Generated Maps: A Study of DALLE 2 and Implications for Cartography](https://mlsanity.com/paper/2304.10743/) (2023)
- [Understanding Place Identity with Generative AI](https://mlsanity.com/paper/2306.04662/) (2023)
- [ChatGPT is not a pocket calculator -- Problems of AI-chatbots for teaching Geography](https://mlsanity.com/paper/2307.03196/) (2023)

## Built on by (most cited first, 1 of 1)

- ["Draw me a curator" Examining the visual stereotyping of a cultural services profession by generative AI](https://mlsanity.com/paper/2508.07132/) (2025)

## Abstract (arXiv)

A simple experiment was conducted to test the ability of the Chinese-based generative artificial intelligence (AI) platform, Wenxin Yige, to render images of urban street views of different countries. The study found that images generated by this AI platform may contain continental-level stereotypes in terms of showing the level of economic development and modernization. Street view images generated from Wenxin Yige do not adequately represent the diverse range of urban landscapes found across different nations. Using these generated images for geography education or outreach initiatives could inadvertently strengthen people's existing stereotypical views about individual countries.