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

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Authors: Rachel Adams, Fola Adeleke, Leah Junck, Ayantola Alayande, Aarushi Gupta, Urvashi Aneja, Samuel T. Segun, Rosalind M. Parkes-Ratanshi, Selam Abdella, Mark Gaffley, Scott Mahoney, Rirhandzu Makamu
+63 more Nana Eghele Adade, Liping Bian, Timothy Kintu, Atwine Mugume, Aline Germani, Michelle El Kawak, Bhavee Patel, Olanrewaju Lawa, Sara Khalid, Olubayo Adekanmbi, Rasheedat Sikiru, Toyib Ogunremi, Farhan Yusuf, Hanna Minaye, Imo Etuk, Jimmy Nsenga, Uma Urs, Marzia Zaman, Khondaker A. 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 Taylor, Joao Archegas, Amrita Mahale, Neal B. Lesh, Enrica Duncan, Theofrida Julius Maginga, Hugo Manuel Paz Morales, Henrique Dias Pereira dos Santos, Tue Minh Vo, Trang TH Nguyen, Robert Korom, Michael Leventhal, Shashi Jain, Lívia Oliveira-Ciabati, Praveen Devarsetty, Jane Hirst, Ankita Sharma, Moinul H. Chowdhury, Henrique Araújo Lima, Caroline Govathson, Sarah Ruth Morris
Cited by: 1
References: 27

Fields of Study & Subjects

Ethics and Social Impacts of AI Artificial Intelligence in Healthcare and Education ICT in Developing Communities

Publication details

Journal / source
Nature Computational Science
Publisher
Springer Science and Business Media LLC
Volume
6
Issue
5
Pages
441–449
Publication date
23 February 2026
Language
EN