From space rovers to hunger maps: How AI is reshaping humanitarian aid

Humanitarian groups are using AI and robotics to make aid delivery safer and disaster response faster.

Project AHEAD is testing remotely operated vehicles for risky deliveries, while the World Food Programme’s HungerMap Live tracks food insecurity with machine learning.

The Humanitarian OpenStreetMap Team combined AI and volunteers to map earthquake damage in Venezuela more quickly.

These tools can reduce risk and improve relief targeting, but many systems are still experimental and not yet as accurate or widely deployed as human-led methods.