A new research agenda for African generative AI
Rachel Adams (),
Ayantola Alayande,
Zameer Brey,
Brantley Browning,
Michael Gastrow,
Jerry John Kponyo,
Dona Mathew,
Moremi Nkosi,
Henry Nunoo-Mensah,
Diana Nyakundi,
Victor Odumuyiwa,
Olubunmi Okunowo,
Philipp Olbrich,
Nawal Omar,
Kemi Omotubora,
Paul Plantinga,
Gabriella Razzano,
Zara Schroeder,
Andrew Selasi Agbemenu,
Araba Sey,
Kristophina Shilongo,
Shreya Shirude,
Matthew Smith,
Eric Tutu Tchao and
Davy K. Uwizera
Additional contact information
Rachel Adams: Research ICT Africa
Ayantola Alayande: University of Cambridge
Zameer Brey: Bill and Melinda Gates Foundation
Brantley Browning: Bill and Melinda Gates Foundation
Michael Gastrow: Human Sciences Research Council
Jerry John Kponyo: Kwame Nkrumah University of Science and Technology
Dona Mathew: Digital Futures Lab
Moremi Nkosi: Research ICT Africa
Henry Nunoo-Mensah: Kwame Nkrumah University of Science and Technology
Diana Nyakundi: Research ICT Africa
Victor Odumuyiwa: University of Lagos
Olubunmi Okunowo: Bill and Melinda Gates Foundation
Philipp Olbrich: 8 GIZ, FAIR Forward - Artificial Intelligence for All
Nawal Omar: Research ICT Africa
Kemi Omotubora: University of Lagos
Paul Plantinga: Human Sciences Research Council
Gabriella Razzano: OpenUp
Zara Schroeder: Research ICT Africa
Andrew Selasi Agbemenu: Kwame Nkrumah University of Science and Technology
Araba Sey: Research ICT Africa
Kristophina Shilongo: Mozilla Foundation
Shreya Shirude: Bill and Melinda Gates Foundation
Matthew Smith: International Development Research Canada
Eric Tutu Tchao: Bill and Melinda Gates Foundation
Davy K. Uwizera: Huzalabs
Nature Human Behaviour, 2023, vol. 7, issue 11, 1839-1841
Abstract:
The rise of generative AI requires a research agenda grounded in the African context to determine locally relevant strategies for its development and use. With a critical mass of evidence on the risks and benefits that generative AI poses to African societies, the scaled use of this new technology might help to reduce rising global inequities.
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:nat:nathum:v:7:y:2023:i:11:d:10.1038_s41562-023-01735-1
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DOI: 10.1038/s41562-023-01735-1
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