Humanitarian aid guided by satellite data may harm marginalised groups

Humanitarian aid guided by satellite data may harm marginalised groups

Satellite data can help policy-makers quickly identify regions of the world in need of aid and development, but research shows it can also contain bias against marginalised groups, potentially compromising policy goals.

Machine-learning systems that scan satellite images for indicators of poverty or disaster damage have become a popular tool for assessing humanitarian and development needs. But Lukas Kondmann and Xiao Xiang Zhu at the German Aerospace Center in Cologne say little attention has been paid to potential biases built into this data.

They trained …

Leave a Reply

Your email address will not be published.