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Algorithmic bias has a special amplifying effect in humanitarian scenarios: if training data mainly comes from areas with well-developed infrastructure and rich data records, the accuracy of a model will drop significantly when it is transferred to data-sparse low-income or conflict areas, that is, the out-of-distribution generalization problem.
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10/16/2026
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