Need for ethical use of artificial intelligence in humanitarian data collection to address aid shortfalls

The global humanitarian crisis is escalating due to conflicts, climate-related disasters, and infection outbreaks.1 Recent cuts by the USA and other high-income donors to international aid, including considerable reductions in foreign assistance, have abruptly diminished crucial support for global health programmes, food security, and disaster relief.2 With overburdened humanitarian systems facing worsening resource constraints, data-driven aid allocation has become increasingly important for survival worldwide.