Mapping the potential and limitations of using generative AI technologies to address socio-economic challenges in LMICs.

Rachel Adams Fola Adeleke Leah Junck Ayantola Alayande Aarushi Gupta Urvashi Aneja Samuel T. Segun Rosalind Parkes-Ratanshi Selam Abdella Mark Gaffley Scott Mahoney Rirhandzu Makamu Nana Eghele Adade Liping Bian Timothy Kintu Atwine Mugume Aline Germani Michelle El Kawak Bheeshma Patel Olanrewaju Lawa Sara Khalid Olubayo Adekanmbi Rasheedat Sikiru Toyib Ogunremi Farhan Yusuf Hanna Minaye Imo Etuk Jimmy Nsenga Uma Urs Marzia Zaman Khondaker Abdullah Al Mamun Vivian Resende Pedro Henrique Faria Silva Trocoli-Couto Rositsa Zaimova Mamadou Alpha Diallo Nana Kofi Quakyi Xiao Fan Liu Daudi Jjingo Imad Elhajj Joyce Nakatumba-Nabende Tamlyn Eslie Roman Maryam Mustafa Brenda Hendry Yogesh Hooda Chinazo Anebelundu Bishesh Khanal Faisal Sultan Nirmal Ravi Darlington Akogo Zameer Brey Dave Cohen Joshua Proctor Essa Mohamedali Nneka Mobisson Amelia V. Taylor Joao Archegas Amrita Mahale Neal Lesh Enrica Duncan Theofrida J. Maginga Hugo M. P. Morales Henrique Dias Pereira dos Santos Tue Vo Trang TH Nguyen Robert Korom Michael Leventhal Shashi Jain Livia Maria de Oliveira Ciabati Praveen Devarsetty Jane Hirst Ankita Sharma Moinul Chowdhury Henrique Araujo Lima Caroline Govathson Sarah Morris Mapping the potential and limitations of using generative AI technologies to address socio-economic challenges in LMICs. 2026 May 441-449 6 Nat. Comput. Sci. 5 https://doi.org/10.1038/s43588-026-00960-8 db/journals/ncs/ncs6.html#AdamsAJAGASPAGMMABKMGKP26 streams/journals/ncs