Artificial intelligence (AI) plays a vital role in humanitarian assistance, particularly highlighted during the COVID-19 pandemic in Togo, where AI tools identified impoverished households for financial aid. Traditional methods like surveys became unfeasible, prompting researchers to employ machine learning with satellite imagery and mobile data. As the focus shifts towards AI in poverty alleviation, comprehensive data on household conditions is crucial but challenging to gather in low- and middle-income countries, where response rates for in-person surveys have declined, emphasizing the potential of AI and community science to fill these gaps.
In low- and middle-income countries, in-person surveys are costly and can miss vulnerable populations; AI and community science can bridge these gaps.
During the pandemic, Togo used AI to identify households needing food aid, showcasing AI's potential in humanitarian assistance.
#artificial-intelligence #humanitarian-assistance #poverty-alleviation #data-collection #community-science
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