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

The Lancet Digital Health 2026 Open access

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Authors: Shreenik Kundu, Ayla Gerk, Duha Shellah, Dunya Moghul, Jean Marie Tshimula, Justina Seyi-Olajide, Dan Poenaru
DOI: 10.1016/j.landig.2026.101045
Cited by: 1
References: 8

Abstract

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.

Fields of Study & Subjects

Ethics and Social Impacts of AI Global Health and Surgery Climate Change Adaptation Migration

Publication details

Journal / source
The Lancet Digital Health
Publisher
Elsevier BV
Volume
8
Issue
9
Pages
101045–101045
Publication date
20 August 2026
Language
EN