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March 7, 20260 citationsOpen Access

Ethics and Governance in African AI: A Ghanaian Perspective

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KAKofi AmeyawYAYaw AsareEGEsi Gyamfu

Key Points

  • The aim is to understand ethical concerns and data management practices related to AI technologies in Ghana.
  • Qualitative interviews with stakeholders
  • Document analysis of existing practices
  • Focus on AI ethics and data governance issues
  • Identified rising use of machine learning in healthcare and education
  • Highlighted issues of privacy breaches and lack of transparency
  • Emphasized the need for robust regulatory frameworks
  • Recommended inclusion of ethics in AI design processes

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.

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Cite This Study

Ameyaw et al. (2008) studied this question.

synapsesocial.com/papers/69abc2725af8044f7a4ec20ahttps://doi.org/10.5281/zenodo.18870351
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