Ethical AI Strategies to Address Socioeconomic and Healthcare Challenges in Africa
Abieyuwa Ohonha ()
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Abieyuwa Ohonha: University of Johannesburg, School of Economics, College of Business and Economics
A chapter in Behavioral Cybersecurity and Ethical AI in Relational Economics Context, 2026, pp 33-49 from Springer
Abstract:
Abstract Artificial Intelligence (AI) is transforming socioeconomic and healthcare landscapes across Africa. These technologies, from automation and digital financial services to AI–powered diagnostics and disease surveillance, enhance accessibility and efficiency, particularly in resource–constrained settings. However, without ethical safeguards, AI risks reinforcing biases, excluding marginalized groups, and deepening digital and economic divides. This chapter explores ethical AI strategies to ensure inclusivity, fairness, and accountability in Africa’s AI adoption. Given the continent’s diverse sociopolitical and economic contexts, robust policy and governance frameworks are crucial. Governments, regulatory bodies, and public–private partnerships are pivotal in shaping AI policies prioritizing human rights, data protection, and equitable access. AI literacy, community engagement, and local capacity–building are essential for responsible AI deployment. Using case studies from South Africa, Nigeria, and Kenya, this chapter examines AI’s role in addressing socioeconomic and healthcare challenges in Africa. These examples highlight AI–driven maternal and child healthcare programs, fintech innovations, and disease surveillance systems, demonstrating the technology’s potential when applied ethically. The study also addresses challenges such as energy constraints, infrastructure gaps, and regulatory deficiencies that hinder widespread AI adoption. The chapter advocates for an AI–driven future rooted in transparency and inclusivity. Policy recommendations include strengthening AI governance, enhancing data protection, bridging the energy divide, and fostering multi–stakeholder collaborations to harness AI for sustainable and equitable development across Africa.
Keywords: Healthcare; Artificial Intelligence; Poverty; Ethics; Infrastructure; Energy (search for similar items in EconPapers)
Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-032-01214-2_2
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DOI: 10.1007/978-3-032-01214-2_2
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