Mapping the potential and limitations of using generative AI technologies to address socio-economic challenges in LMICs.
- DOI
- 10.1038/s43588-026-00960-8
- Published
- 2026 May
- Container
- Nature computational science
- Publisher
- Not recorded
- Open access
- unknown
Credibility signals
limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- cautionDOI registered: No matching Crossref record was present in this response.
- cautionDOI resolves: No matching Crossref record was present in this response.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Cite this work
BibTeX
@article{allodium:10.1038/s43588-026-00960-8,
title = {Mapping the potential and limitations of using generative AI technologies to address socio-economic challenges in LMICs.},
author = {Adams R and Adeleke F and Junck L and Alayande A and Gupta A and Aneja U and Segun S and Parkes-Ratanshi R and Abdella S and Gaffley M and Mahoney S and Makamu R and Eghele Adade N and Bian L and Kintu T and Mugume A and Germani A and El Kawak M and Patel B and Lawa O and Khalid S and Adekanmbi O and Sikiru R and Ogunremi T and Yusuf F and Minaye H and Etuk I and Nsenga J and Urs U and Zaman M and Mamun KA and Resende V and Faria Silva Trocoli-Couto PH and Zaimova R and Alpha Diallo M and Kofi Quakyi N and Liu XF and Jjingo D and Elhajj I and Nakatumba-Nabende J and Roman TE and Mustafa M and Hendry B and Hooda Y and Anebelundu C and Khanal B and Sultan F and Ravi N and Akogo D and Brey Z and Cohen D and Proctor J and Mohamedali E and Mobisson N and Taylor A and Archegas J and Mahale A and Lesh N and Duncan E and Maginga TJ and Morales HMP and Pereira Dos Santos HD and Vo T and Th Nguyen T and Korom R and Leventhal M and Jain S and Maria de Oliveira Ciabati L and Devarsetty P and Hirst J and Sharma A and Chowdhury M and Araujo Lima H and Govathson C and Morris S},
year = {2026},
journal = {Nature computational science},
doi = {10.1038/s43588-026-00960-8},
url = {https://doi.org/10.1038/s43588-026-00960-8}
}RIS
TY - JOUR TI - Mapping the potential and limitations of using generative AI technologies to address socio-economic challenges in LMICs. AU - Adams R AU - Adeleke F AU - Junck L AU - Alayande A AU - Gupta A AU - Aneja U AU - Segun S AU - Parkes-Ratanshi R AU - Abdella S AU - Gaffley M AU - Mahoney S AU - Makamu R AU - Eghele Adade N AU - Bian L AU - Kintu T AU - Mugume A AU - Germani A AU - El Kawak M AU - Patel B AU - Lawa O AU - Khalid S AU - Adekanmbi O AU - Sikiru R AU - Ogunremi T AU - Yusuf F AU - Minaye H AU - Etuk I AU - Nsenga J AU - Urs U AU - Zaman M AU - Mamun KA AU - Resende V AU - Faria Silva Trocoli-Couto PH AU - Zaimova R AU - Alpha Diallo M AU - Kofi Quakyi N AU - Liu XF AU - Jjingo D AU - Elhajj I AU - Nakatumba-Nabende J AU - Roman TE AU - Mustafa M AU - Hendry B AU - Hooda Y AU - Anebelundu C AU - Khanal B AU - Sultan F AU - Ravi N AU - Akogo D AU - Brey Z AU - Cohen D AU - Proctor J AU - Mohamedali E AU - Mobisson N AU - Taylor A AU - Archegas J AU - Mahale A AU - Lesh N AU - Duncan E AU - Maginga TJ AU - Morales HMP AU - Pereira Dos Santos HD AU - Vo T AU - Th Nguyen T AU - Korom R AU - Leventhal M AU - Jain S AU - Maria de Oliveira Ciabati L AU - Devarsetty P AU - Hirst J AU - Sharma A AU - Chowdhury M AU - Araujo Lima H AU - Govathson C AU - Morris S PY - 2026 JO - Nature computational science DO - 10.1038/s43588-026-00960-8 UR - https://doi.org/10.1038/s43588-026-00960-8 ER -
APA
R, A., F, A., L, J., A, A., A, G., U, A., S, S., R, P., S, A., M, G., S, M., R, M., N, E. A., L, B., T, K., A, M., A, G., M, E. K., B, P., O, L., S, K., O, A., R, S., T, O., F, Y., H, M., I, E., J, N., U, U., M, Z., KA, M., V, R., PH, F. S. T., R, Z., M, A. D., N, K. Q., XF, L., D, J., I, E., J, N., TE, R., M, M., B, H., Y, H., C, A., B, K., F, S., N, R., D, A., Z, B., D, C., J, P., E, M., N, M., A, T., J, A., A, M., N, L., E, D., TJ, M., HMP, M., HD, P. D. S., T, V., T, T. N., R, K., M, L., S, J., L, M. D. O. C., P, D., J, H., A, S., M, C., H, A. L., C, G., & S, M. (2026). Mapping the potential and limitations of using generative AI technologies to address socio-economic challenges in LMICs.. Nature computational science. https://doi.org/10.1038/s43588-026-00960-8
Source records
- pubmed · retrieved 2026-09-26T01:24:32.973Z