Case studies of AI policy development in Africa
Artificial intelligence (AI) requires new ways of evaluating national technology use and strategy for African nations. We conduct a survey of existing “readiness” assessments both for general digital adoption and AI policy in particular. We conclude that existing global readiness assessments do not...
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| Format: | Article |
| Language: | English |
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Cambridge University Press
2025-01-01
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| Series: | Data & Policy |
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| Online Access: | https://www.cambridge.org/core/product/identifier/S2632324924000713/type/journal_article |
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| author | Kadijatou Diallo Jonathan Smith Chinasa T. Okolo Dorcas Nyamwaya Jonas Kgomo Richard Ngamita |
| author_facet | Kadijatou Diallo Jonathan Smith Chinasa T. Okolo Dorcas Nyamwaya Jonas Kgomo Richard Ngamita |
| author_sort | Kadijatou Diallo |
| collection | DOAJ |
| description | Artificial intelligence (AI) requires new ways of evaluating national technology use and strategy for African nations. We conduct a survey of existing “readiness” assessments both for general digital adoption and AI policy in particular. We conclude that existing global readiness assessments do not fully capture African states’ progress in AI readiness and lay the groundwork for how assessments can be better used for the African context. We consider the extent to which these indicators map to the African context and what these indicators miss in capturing African states’ on-the-ground work in meeting AI capability. Through case studies of four African nations of diverse geographic and economic dimensions, we identify nuances missed by global assessments and offer high-level policy considerations for how states can best improve their AI readiness standards and prepare their societies to capture the benefits of AI. |
| format | Article |
| id | doaj-art-715046cade4b42c29f86a8c050dcf4e6 |
| institution | Kabale University |
| issn | 2632-3249 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Cambridge University Press |
| record_format | Article |
| series | Data & Policy |
| spelling | doaj-art-715046cade4b42c29f86a8c050dcf4e62025-02-10T07:48:43ZengCambridge University PressData & Policy2632-32492025-01-01710.1017/dap.2024.71Case studies of AI policy development in AfricaKadijatou Diallo0Jonathan Smith1https://orcid.org/0000-0002-4385-3316Chinasa T. Okolo2https://orcid.org/0000-0002-6474-3378Dorcas Nyamwaya3Jonas Kgomo4Richard Ngamita5Harvard Kennedy School, Harvard University, Boston, MA, USAMeta, Menlo Park, CA, United StatesCenter for Technology Innovation, The Brookings Institution, Washington D. C., USAEquiano Institute, Nairobi, KenyaEquiano Institute, Nairobi, KenyaEquiano Institute, Nairobi, KenyaArtificial intelligence (AI) requires new ways of evaluating national technology use and strategy for African nations. We conduct a survey of existing “readiness” assessments both for general digital adoption and AI policy in particular. We conclude that existing global readiness assessments do not fully capture African states’ progress in AI readiness and lay the groundwork for how assessments can be better used for the African context. We consider the extent to which these indicators map to the African context and what these indicators miss in capturing African states’ on-the-ground work in meeting AI capability. Through case studies of four African nations of diverse geographic and economic dimensions, we identify nuances missed by global assessments and offer high-level policy considerations for how states can best improve their AI readiness standards and prepare their societies to capture the benefits of AI.https://www.cambridge.org/core/product/identifier/S2632324924000713/type/journal_articledata-ethicsmaturityreadinessgovernance |
| spellingShingle | Kadijatou Diallo Jonathan Smith Chinasa T. Okolo Dorcas Nyamwaya Jonas Kgomo Richard Ngamita Case studies of AI policy development in Africa Data & Policy data-ethics maturity readiness governance |
| title | Case studies of AI policy development in Africa |
| title_full | Case studies of AI policy development in Africa |
| title_fullStr | Case studies of AI policy development in Africa |
| title_full_unstemmed | Case studies of AI policy development in Africa |
| title_short | Case studies of AI policy development in Africa |
| title_sort | case studies of ai policy development in africa |
| topic | data-ethics maturity readiness governance |
| url | https://www.cambridge.org/core/product/identifier/S2632324924000713/type/journal_article |
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