Ethnographic exploration reveals community reluctance towards AI data sharing in Congo, highlighting cultural and ethical needs.
This study explores the integration of artificial intelligence (AI) into governance within African societies, with a specific focus on Congo. An ethnographic approach was employed, involving participant observation, interviews, and document analysis conducted over six months across urban and rural areas of Congo. The study team included anthropologists, sociologists, and data scientists. A notable theme emerged regarding the reluctance among local communities to share personal data for AI-driven services due to privacy concerns, with approximately 40% expressing hesitation in sharing their information. The findings highlight significant gaps between technological implementation and community acceptance, emphasising the importance of cultural sensitivity and ethical considerations in AI governance. Policy makers should prioritise education on AI benefits and risks, alongside establishing robust data protection frameworks that align with local values and practices.
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Sompouéré et al. (2004) studied this question.
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