African Statistical Methods (Pure Science)

Advancing Scholarship Across the Continent

Vol. 2008 No. 1 (2008)

View Issue TOC

Ethics and Governance in African AI: A Ghanaian Perspective

Kofi Ameyaw, Department of Research, Water Research Institute (WRI) Yaw Asare, Department of Advanced Studies, Ashesi University Esi Gyamfu, Department of Advanced Studies, Kwame Nkrumah University of Science and Technology (KNUST), Kumasi
DOI: 10.5281/zenodo.18870352
Published: December 18, 2008

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.

How to Cite

Kofi Ameyaw, Yaw Asare, Esi Gyamfu (2008). Ethics and Governance in African AI: A Ghanaian Perspective. African Statistical Methods (Pure Science), Vol. 2008 No. 1 (2008). https://doi.org/10.5281/zenodo.18870352

Keywords

AfricanizationEthnographyGovernanceIndigenous Knowledge SystemsParticipatory ResearchSocial ConstructivismTechnology Ethics

References