Perceptive Visual Urban Analytics is Not (Yet) Suitable for Municipalities
| Authors | |
|---|---|
| Publication date | 2024 |
| Book title | ACM FAccT '24 |
| Book subtitle | Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency : June 3rd-6th 2024, Rio de Janeiro, Brazil |
| ISBN (electronic) |
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| Event | 2024 ACM Conference on Fairness, Accountability, and Transparency, FAccT 2024 |
| Pages (from-to) | 1341-1354 |
| Number of pages | 14 |
| Publisher | New York: The Association for Computing Machinery |
| Organisations |
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| Abstract |
The use of Computer Vision, through a Perceptive Visual Urban Analytics (VUA) paradigm, has been proposed as a way for municipalities to more easily monitor their cities. However, prior studies fall short of actually investigating whether Perceptive VUA is ready for municipal use. In this paper we take a critical look at this paradigm by comparing key methods and evaluating them on usability and trustworthiness with municipal experts as well as Responsible AI and Computer Vision researchers. Based on on this evaluation we find that Perceptive VUA is not (yet) ready for municipal use as they do not incorporate domain knowledge and overly rely on spurious correlations. We conclude by providing recommendations for how to progress Perceptive VUA such that it may actually contribute to improving the liveability and quality of urban environments. |
| Document type | Conference contribution |
| Note | With appendix |
| Language | English |
| Published at | https://doi.org/10.1145/3630106.3658976 |
| Other links | https://www.scopus.com/pages/publications/85196669231 |
| Downloads |
3630106.3658976
(Final published version)
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| Supplementary materials | |
| Permalink to this page | |
