Mixed-methods research explores AI governance concerns in Ghana, suggesting community engagement and ethics frameworks are vital.
This study examines the integration of artificial intelligence (AI) into governance systems in Ghana from an African perspective. A mixed-methods approach was employed, including a structured questionnaire survey of stakeholders and focus group discussions in Ghanaian communities. Quantitative data were analysed using descriptive statistics, while thematic analysis was applied to qualitative responses. The survey revealed that 70% of respondents expressed concern about potential biases in AI decision-making processes, highlighting the need for robust oversight mechanisms. This research underscores the importance of ethical frameworks and community engagement in AI governance to mitigate negative societal impacts. Policy recommendations include establishing independent ethics committees and integrating public participation into AI development and deployment strategies.
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Gyasi et al. (2005) studied this question.
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