Roads Generated by Artificial Intelligence in OpenStreetMap

Authors

  • Nedjeljko Frančula University of Zagreb Faculty of Geodesy, Zagreb, Croatia

Keywords:

roads, artificial intelligence, OpenStreetMap

Abstract

A concise summary of the article that analyzes the growing application of artificial intelligence (AI) in the generation of geospatial data and its input into OpenStreetMap (OSM). The problem of non-transparent import of AI-generated data without a clear declaration of the source is highlighted, which is against the principles of OSM. The cited research examines the possibility of recognizing AI-generated roads according to geometric characteristics. The key hypothesis is that algorithms create more uniform number of nodes than humans, whose work is more variable. The analysis is based on data from Malaysia and Tanzania, including AI-generated and traditionally mapped roads. Geometric methods for identifying AI-generated data have potential, but are still underdeveloped.

References

Andorful, F., Herfort, B., Melanda, R. A., Antonio, N. D., Zipf, A., Camboim, S. P. (2026): Transparency and Trust in Collaborative Mapping: Concerns and Dilemmas in AI-Assisted Road Integration within OpenStreetMap, Annals of the American Association of Geographers, 116, 3, 675–696. https://doi.org/10.1080/24694452.2025.2589286

Published

30.06.2026

Issue

Section

Publications and Software Review

How to Cite

“Roads Generated by Artificial Intelligence in OpenStreetMap” (2026) Geodetski list, 80(2), pp. 197–198. Available at: https://ojs.srce.hr/geodetski-list/article/view/42709 (Accessed: 11 July 2026).