01948nas a2200205   4500000000100000008004100001260004400042653001100086653002800097653001900125653001400144653002600158653001500184100001500199245007600214856007300290300000900363520134500372022002501717       2024                            d  bSpringer Science and Business Media LLC10aAfrica10aArtificial Intelligence10adecolonization10aAI ethics10aAI Ethical Frameworks10aHealthcare1 aGrancia MK00aDecolonizing AI ethics in Africa’s healthcare: An ethical perspective  uhttps://link.springer.com/content/pdf/10.1007/s43681-024-00650-z.pdf  a1-143 a<p>Owing to the ethical tension between the ethics frameworks developed in the Global North and the African understanding of ethics, health, and care, decolonization can be a useful tool through which Artificial Intelligence (AI) ethics is understood and applied in Africa. While existing AI ethics frameworks often reflect Western values and perspectives like individuality, the African setting is still largely communalist. Thus, the current frameworks, developed in the Global North, need to be interpreted in the African context to represent the values of people in Africa. It is then that they will be suitable for addressing the healthcare challenges in Africa today. Challenges like resource constraints, coloniality and the paternalism of the Global North toward the Global South have put Africa at the periphery of the AI Ethics debate. This article discusses the need to “decolonize” AI ethics to ensure just, equitable, and inclusive AI in healthcare in Africa. It critiques the current ethical frameworks largely developed from the Global North in shaping ethical AI development in Africa, calling for the decolonization of ethical principles. The paper discusses key considerations for a decolonized approach in healthcare and proposes key principles that can ensure an approach rooted in African contexts and values.</p>
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