This study investigats both emerging and existing ethical issues associated with the adoption of artificial intelligence (AI) in Africa, a region characterised by unique socio-economic and cultural complexities. Even though AI adoption is rapidly transforming and delivering substantial benefits in sectors such as healthcare, finance, agriculture, education, industry, and governance, its implementation still raises ethical concerns. These ethical issues include digital colonialism, algorithmic bias, job displacement, limited infrastructure, data scarcity, linguistic diversity, and the risk of imposing foreign values that may undermine indigenous knowledge and social cohesion. Grounded in Afro-communitarianism and stakeholder theory, which emphasises communal values such as Ubuntu and cooperative engagement among stakeholders, this desk-based research identifies these major challenges and introduces a culturally grounded framework for responsible AI adoption in Africa. The framework calls for stronger governance, capacity building, collaboration among stakeholders, and tailored strategies across multiple stakeholders to ensure AI supports Africa’s inclusive and sustainable progress.
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Dolapo Faith Sule
Sci
University of Johannesburg
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Dolapo Faith Sule (Thu,) studied this question.
synapsesocial.com/papers/69abc1f65af8044f7a4eb0fe — DOI: https://doi.org/10.3390/sci8030060