What role does the human-in-the-loop play in AI-assisted mapping?

In a recent experiment with YouthMappers in Ghana, we explored how editors interact with AI-generated roads in #OpenStreetMap. Do human edits refine the data or simply pass it through?

Understanding these actions helps improve trust, validation, and quality. It also guides how the community works with growing AI-generated data. What is your take on AI-mapping?

🔗 https://heigit.org/ai-assisted-mapping-insights-from-the-community/

#AIMapping #GeoAI #VGI #GIS

Review of the AI Segmentation by TerraLab plugin for QGIS

https://videos.qwast-gis.com/w/cw6ATTq1PeKEBAazkH1XHU

Review of the QGIS GeoAI plugin

https://videos.qwast-gis.com/w/7AErmuFVuMvnG4wGk3EYtJ

🕶️ The Dark Side of #GeoAI – Workshop @ GeoAI 2026 🌍

Join us in mapping the risks, biases & dangers lurking in AI usage in the Geosciences — from hallucinations & bias to misinformation & ecological impacts — and developing countermeasures together.

📍 In beautiful #Ghent, Belgium 🇧🇪
📅 June 3, 2026 (afternoon)

✨ Open to ALL career stages & disciplines, not just geoscientists

📝 Submit by March 13:
A short statement of interest to [email protected]

Details: https://www.uni-muenster.de/Geoinformatics/en/sitcom/darkside.html

Our online course on Spatial Data Science in Python has opened registrations once again. This time, we're teaching during May 2026.

10 lessons during May, covering everything from introduction to spatial data to #geoAI using Python open-source stack, part of which I've been actively developing for quite a while. Spatial graphs, autocorrelation, interpolation, point patterns, regression and spatial ML, all covered!

See the details at https://martinfleischmann.net/sds/micro/

Review of the AI Segmentation by TerraLab plugin for QGIS

https://videos.qwast-gis.com/w/d8RMLJzcm1gXZt8z6pQMKQ