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</script>Humanitarian organisations are relying more and more on geodata, geographical information science and (geo)artificial intelligence (jointly geo-information workflows). This is not only aiding with the decision making during aid operations after a disaster, but also increasingly for data-informed disaster risk reduction management. Obviously these workflows and the generated information itself also brings risks with it, among others the incorrect or biased classification of people or groups. How to tackle such ethical issues is the central focus of this program.

Humanitarian organisations are relying more and more on geodata, geographical information science and (geo)artificial intelligence (jointly geo-information workflows). This is not only aiding with the decision making during aid operations after a disaster, but also increasingly for data-informed disaster risk reduction management. Obviously these workflows and the generated information itself also brings risks with it, among others the incorrect or biased classification of people or groups. How to tackle such ethical issues is the central focus of this program.
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