Mapping the potential and limitations of using generative AI technologies to address socio-economic challenges in LMICs.
Adams R, Adeleke F, Junck L, Alayande A, Gupta A, Aneja U, Segun S, Parkes-Ratanshi R, Abdella S, Gaffley M, Mahoney S, Makamu R, Eghele Adade N, Bian L, Kintu T, Mugume A, Germani A, El Kawak M, Patel B, Lawa O, Khalid S, Adekanmbi O, Sikiru R, Ogunremi T, Yusuf F, Minaye H, Etuk I, Nsenga J, Urs U, Zaman M, Mamun KA, Resende V, Faria Silva Trocoli-Couto PH, Zaimova R, Alpha Diallo M, Kofi Quakyi N, Liu XF, Jjingo D, Elhajj I, Nakatumba-Nabende J, Roman TE, Mustafa M, Hendry B, Hooda Y, Anebelundu C, Khanal B, Sultan F, Ravi N, Akogo D, Brey Z, Cohen D, Proctor J, Mohamedali E, Mobisson N, Taylor A, Archegas J, Mahale A, Lesh N, Duncan E, Maginga TJ, Morales HMP, Pereira Dos Santos HD, Vo T, Th Nguyen T, Korom R, Leventhal M, Jain S, Maria de Oliveira Ciabati L, Devarsetty P, Hirst J, Sharma A, Chowdhury M, Araujo Lima H, Govathson C, Morris S.
Adams R, et al. Among authors: lesh n.
Nat Comput Sci. 2026 May;6(5):441-449. doi: 10.1038/s43588-026-00960-8. Epub 2026 Feb 23.
Nat Comput Sci. 2026.
PMID: 41731037
Review.