Governing Africa's Digital Infrastructure and Artificial Intelligence for Regional Anti-Corruption and Public Service Delivery
Authors
Pan-African University, Institute of Governance, Humanities and Social Sciences (PAUGHSS) (Cameroon)
Pan-African University, Institute of Governance, Humanities and Social Sciences (PAUGHSS) (Cameroon)
Pan-African University, Institute of Governance, Humanities and Social Sciences (PAUGHSS) (Cameroon)
Pan-African University, Institute of Governance, Humanities and Social Sciences (PAUGHSS) (Cameroon)
Article Information
DOI: 10.47772/IJRISS.2026.100801045
Subject Category: Public Administration
Volume/Issue: 10/8 | Page No: 15243-15258
Publication Timeline
Submitted: 2026-09-07
Accepted: 2026-09-12
Published: 2026-09-23
Abstract
Africa’s digital transformation is advancing faster than the governance frameworks required to make digital infrastructure and artificial intelligence (AI) accountable, inclusive and effective. This study examines how digital infrastructure and AI interact with anti-corruption efforts and public service delivery across eight African states: Kenya, Ghana, Nigeria, Rwanda, South Africa, Ethiopia, Mauritius, and Egypt. Using an integrative documentary review, the study synthesises findings across digital public infrastructure, AI anti-corruption tools, institutional capacity, and regional governance. A structured comparative coding framework evaluates governance readiness across the target African states using explicit legal, institutional, and technical criteria. The findings reveal a persistent sequencing failure; public administrations deploy AI systems amid uneven connectivity, infrastructure deficits, fragmented administrative systems, skills shortages, and incomplete regulatory frameworks. Digital public infrastructure strengthens traceability and service efficiency when it is supported by data protection laws, institutional oversight and equitable access. The study advances an integrated regional governance framework structured around four reinforcing pillars: enforceable continental standards, interoperable digital public infrastructure, coordinated institutional mandates, and outcome-based monitoring. The study points out that Africa’s strategic priority should not be AI deployment in isolation but the deliberate construction of the legal, infrastructural and institutional conditions that make AI governable. Regional coordination through the African Union and Regional Economic Communities remains vital for cross-border data governance, cybersecurity, digital sovereignty and public-sector algorithmic accountability. The study concludes that Africa’s digital transformation will deliver sustainable public value only when technological ambition is sequenced with institutional capacity, legal legitimacy and inclusive governance.
Keywords
Digital Infrastructure, Artificial Intelligence, Anti-Corruption, Public Service
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References
1. African Union. The digital transformation strategy for Africa (2020–2030). (2020). [Google Scholar] [Crossref]
2. Mickson, M. K., Zilevu, T. K., Asamoah, E. & Kubi, M. AI integration into public administration in Africa: navigating complexities, inclusion, and institutional gaps. ShodhKosh J. Vis. Perform. Arts 7, (2026). [Google Scholar] [Crossref]
3. Plantinga, P. et al. Responsible artificial intelligence in Africa: towards policy learning. Data Policy 6, e72 (2024). [Google Scholar] [Crossref]
4. United Nations, U. N. D. of E. and S. A. United Nations E-Government Survey 2024: Accelerating Digital Transformation for Sustainable Development - With the Addendum on Artificial Intelligence. (United Nations, 2024). doi:10.18356/9789211067286. [Google Scholar] [Crossref]
5. Kafoe, A. S., Foh, B. M. & Kafoe, M. A. Beyond Panacea: Digital Governance, AI, and the Political Economy of Public Benefit in African Development. Public Gov. Regul. Law 2, 1–20 (2026). [Google Scholar] [Crossref]
6. Mhlanga, D. The Fourth Industrial Revolution and COVID-19 Pandemic in South Africa: The Opportunities and Challenges of Introducing Blended Learning in Education. J. Afr. Educ. 2, 15–42 (2021). [Google Scholar] [Crossref]
7. Langat, S. K., Mwakio, P. M. & Ayuku, D. How Africa Should Engage Ubuntu Ethics and Artificial Intelligence. J. Public Health Int. 2, 20–25 (2020). [Google Scholar] [Crossref]
8. Dzreke, S. S., Dzreke, S. E., Dzreke, E. & Dzreke, F. M. Digital ID as a governance game-changer in African democracies: A comparative analysis of Ghana, Nigeria, and India. Adv. Res. J. 8, 82–102 (2025). [Google Scholar] [Crossref]
9. Yilma, K. & Wodajo, K. Strategy as governance: the governance of AI in Africa. Sci. Public Policy 53, 236–244 (2026). [Google Scholar] [Crossref]
10. Walter, Y. Managing the race to the moon: Global policy and governance in Artificial Intelligence regulation—A contemporary overview and an analysis of socioeconomic consequences. Discov. Artif. Intell. 4, 14 (2024). [Google Scholar] [Crossref]
11. Ismail, O. & Ahmad, N. Ethical and Governance Frameworks for Artificial Intelligence: A Systematic Literature Review. Int. J. Interact. Mob. Technol. IJIM 19, 121–136 (2025). [Google Scholar] [Crossref]
12. Odilla, F. Unfairness in AI Anti-Corruption Tools: Main Drivers and Consequences. Minds Mach. 34, 28 (2024). [Google Scholar] [Crossref]
13. Walle, Y. M., Asifaw, B. G. & Abreha, H. The dual role of AI in whistleblowing systems for anti-corruption in Africa. Discov. Artif. Intell. 6, 553 (2026). [Google Scholar] [Crossref]
14. Sampaio, I. G. B., Bernardini, F. C. & Viterbo, J. Challenges in Addressing the Ethical Aspects of Artificial Intelligence to Detect Fraud in Public Procurement Processes. in Anais da I Conferência Latino-Americana de Ética em Inteligência Artificial (LAAI-Ethics 2024) 13–16 (Sociedade Brasileira de Computação - SBC, Brasil, 2024). doi:10.5753/laai-ethics.2024.32440. [Google Scholar] [Crossref]
15. Banda, L. G. & Du Plessis, D. J. The contingent role of state capacity on the impact of e-government on environmental sustainability in developing countries. Front. Polit. Sci. 6, 1459973 (2024). [Google Scholar] [Crossref]
16. Mhlanga, D. Using artificial intelligence to improve governance and public services in Africa. Front. Big Data 9, 1835663 (2026). [Google Scholar] [Crossref]
17. Ajuzieogu, U. C. Cross-Disciplinary AI Impact Assessment for African Contexts: A Comprehensive Research Framework. (2017). [Google Scholar] [Crossref]
18. Masiya, T., Lubinga, S. & Musekiwa, T. Barriers to Digital Inclusion in Service Delivery in South Africa: a Systematic Review. Int. J. Electron. Gov. 17, 10070710 (2025). [Google Scholar] [Crossref]
19. Cojocaru, A. Governing AI with trust: an adaptive framework for institutional legitimacy in the UK public sector. Transform. Gov. People Process Policy 1–22 (2025) doi:10.1108/TG-05-2025-0125. [Google Scholar] [Crossref]
20. Ayobami, A. T., Mike-Olisa, U., Chidera Ogeawuchi, J., Abayomi, A. A. & Agboola, O. A. Algorithmic Integrity: A Predictive Framework for Combating Corruption in Public Procurement through AI and Data Analytics. J. Front. Multidiscip. Res. 4, 130–141 (2023). [Google Scholar] [Crossref]
21. Sadik-Zada, E. R., Gatto, A. & Niftiyev, I. E-government and petty corruption in public sector service delivery. Technol. Anal. Strateg. Manag. 36, 3987–4003 (2024). [Google Scholar] [Crossref]
22. Mwesha, N. M., Koome, P. & Wachira, T. W. Exploring the Potential of Digital Technology in Addressing Youth Unemployment in Africa: A Scoping Review of Literature. Afr. Multidiscip. J. Res. 1, 489–503 (2025). [Google Scholar] [Crossref]
23. Flynn, R., Stevens, B., Bains, A., Kennedy, M. & Scott, S. D. Identifying existing approaches used to evaluate the sustainability of evidence-based interventions in healthcare: an integrative review. Syst. Rev. 11, 221 (2022). [Google Scholar] [Crossref]
24. Øvrebø, L. J., Dyrstad, D. N. & Hansen, B. S. Assessment methods and tools to evaluate postgraduate critical care nursing students’ competence in clinical placement. An integrative review. Nurse Educ. Pract. 58, 103258 (2022). [Google Scholar] [Crossref]
25. De Vries, J. et al. Regulation of genomic and biobanking research in Africa: a content analysis of ethics guidelines, policies and procedures from 22 African countries. BMC Med. Ethics 18, 8 (2017). [Google Scholar] [Crossref]
26. Volk-Jesussek, Dr. H. Cohen’s Kappa: Measuring Inter-Rater Agreement. Cohen’s Kappa: Measuring Inter-Rater Agreement - numiqo https://numiqo.com/tutorial/cohens-kappa (2026). [Google Scholar] [Crossref]
27. Bangura, S. & Lourens, M. E. A Comparative Analysis of AI HRM Governance Approaches Across African Countries: Continental Patterns and Divergences. F1000Research 15, 1051 (2026). [Google Scholar] [Crossref]
28. Njoroge, J. W. POTENTIAL ROLE OF AFRICAN UNION IN DEVELOPMENT OF AI GOVERNANCE ACROSS THE CONTINENT. Eur. J. Soc. Sci. Stud. 10, (2024). [Google Scholar] [Crossref]
29. Alabani, K., Afful, B., Taale, F. & Abokyi, E. Assessing the performance of national innovation systems (NIS) in Sub-Saharan Africa. Discov. Glob. Soc. 4, 43 (2026). [Google Scholar] [Crossref]
30. Ebers, M., Tupay, P. K., Juksaar, J. & Kohv, K. The Promise and Perils of AI and ML in Public Administration. in Artificial Intelligence and Machine Learning Powered Public Service Delivery in Estonia (eds Ebers, M. & Tupay, P. K.) vol. 2 7–33 (Springer International Publishing, Cham, 2023). [Google Scholar] [Crossref]
31. Vásquez, N. P. & Oja, L. A Change of Narrative: Protecting Sexual and Reproductive Rights in Post-Conflict Criminal Justice. Columbia J. Gend. Law 43, 31–66 (2023). [Google Scholar] [Crossref]
32. Rodima-Taylor, D. Grassroots Data Activism and Polycentric Governance. in Global Digital Data Governance 68–87 (Routledge, London, 2024). doi:10.4324/9781003388418-6. [Google Scholar] [Crossref]
33. Mišić, J., Van Est, R. & Kool, L. Good governance of public sector AI: a combined value framework for good order and a good society. AI Ethics 5, 4875–4889 (2025). [Google Scholar] [Crossref]
34. Das, A., Singh, H. & Joseph, D. A longitudinal study of e-government maturity. Inf. Manage. 54, 415–426 (2017). [Google Scholar] [Crossref]
35. Davis, T. & Trott, W. The regulation of artificial intelligence through data protection laws: Insights from South Africa. Afr. J. Priv. Data Prot. 1, (2024). [Google Scholar] [Crossref]
36. United Nations. E-resilience through e-government: Global and regional perspectives. in United Nations E-Government Survey 2018 47–65 (UN, 2018). doi:10.18356/7d337b92-en. [Google Scholar] [Crossref]
37. Forghani Bajestani, M., Moeini Gharagozloo, M. M. & Li, S. Digital Technologies: Anti or Pro Corruption? J. Glob. Inf. Technol. Manag. 27, 182–199 (2024). [Google Scholar] [Crossref]
38. OECD. AI governance in Africa. Artificial Intelligence Case Studies series https://www.oecd.org/en/publications/oecd-artificial-intelligence-case-studies_c517fcf5-en/ai-governance-in-africa_1ff55135-en.html (2026). [Google Scholar] [Crossref]
39. Kebe, T. & Ouedrago, B. I. Africa’s Digital Transformation Fosters SDGs and Agenda 2063. (2024). [Google Scholar] [Crossref]
40. Schmitz, A. & Zeleznikow, J. Intelligent Legal Tech to Empower Self-Represented Litigants. Sci. Technol. Law Rev. 23, 142–191 (2022). [Google Scholar] [Crossref]
41. Odilla, F. Bots against corruption: Exploring the benefits and limitations of AI-based anti-corruption technology. Crime Law Soc. Change 80, 353–396 (2023). [Google Scholar] [Crossref]
42. Shibambu, A. Transformation of digital government services in the public sector in South Africa. Afr. Public Serv. Deliv. Perform. Rev. 12, a753 (2024). [Google Scholar] [Crossref]
43. Sachs, J., Kroll, C., Lafortune, G., Fuller, G. & Woelm, F. Sustainable Development Report 2021. (Cambridge University Press, 2021). doi:10.1017/9781009106559. [Google Scholar] [Crossref]
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