---
format: "aidr-story-markdown/v1"
id: "94b5ec063f5cafc264aff79a763c8529d48e36134f93c67ce7287434ce6ee8db"
canonical_url: "https://aidr.today/94b5ec06?lang=en"
title: "The promise and peril of using visual AI to study cities"
lang: "en"
requested_lang: "en"
available_langs: ["en","vi"]
translation_fallback: null
fallback_fields: []
published_at: "2026-09-24T04:00:00.000Z"
category: "Research"
topics: ["llm","vision-language","urban-ai","mit","book","research"]
source_urls: ["https://news.mit.edu/2026/studying-cities-using-visual-ai-fabio-duarte-martina-mazzarello-carlo-ratti-fan-zhang-book-0924"]
summary: "In the book “How AI Sees the City,” MIT researchers examine implications of using visual AI to study urban life. Across cities, more images means more data, more insight — and more concerns about privacy and fairness."
---

# The promise and peril of using visual AI to study cities

> [Open the canonical story](<https://aidr.today/94b5ec06?lang=en>)

**Published:** 2026-09-24T04:00:00.000Z
**Category:** Research
**Topics:** llm, vision\-language, urban\-ai, mit, book, research

## Summary

In the book “How AI Sees the City,” MIT researchers examine implications of using visual AI to study urban life\. Across cities, more images means more data, more insight — and more concerns about privacy and fairness\.

## Sources

- [Story source](<https://news.mit.edu/2026/studying-cities-using-visual-ai-fabio-duarte-martina-mazzarello-carlo-ratti-fan-zhang-book-0924>)