African Statistical Methods (Pure Science) | 15 February 2008
Ethics and Governance in African AI: A Ghanaian Perspective
K, o, f, i, A, m, e, y, a, w, ,, Y, a, w, A, s, a, r, e, ,, E, s, i, G, y, a, m, f, u
Abstract
The rapid advancement of AI technologies in Africa has raised significant ethical concerns, particularly regarding data governance and its implications for society. This study employs qualitative interviews and document analysis to understand stakeholders' perspectives on AI ethics and data management practices in Ghana. Data shows that there is an increasing reliance on machine learning models, particularly in healthcare and education sectors, but also associated with issues of privacy breaches and lack of transparency. The findings indicate a need for robust regulatory frameworks to guide AI development and ensure data privacy rights are upheld. Developers should incorporate ethical considerations into their AI design processes, while policymakers must establish clear guidelines on data usage and protection.