Algorithmic Colonialism and the Appropriation of Indigenous Data: Safeguarding Cultural Epistemologies in the Digital Age

This paper examines the emerging phenomenon of algorithmic colonialism and its implications for Indigenous data sovereignty in Cameroon. Through critical analysis of case studies across Cameroon's diverse ethno-linguistic communities, we demonstrate how contemporary data extraction practices perpetuate colonial power dynamics by appropriating, commodifying, and misrepresenting Indigenous knowledge systems. The research employs a mixed-methods approach combining qualitative interviews with Indigenous knowledge keepers (n=32), computational analysis of algorithmic systems operating in Cameroon, and participatory action research within affected communities in the Northwest, West, Southwest, and East regions. Findings reveal systematic patterns of epistemological violence enacted through algorithmic systems that fail to recognize Cameroonian Indigenous data governance frameworks. We propose a decolonial framework for algorithmic justice that centers Cameroonian Indigenous data sovereignty principles while offering practical guidelines for ethical engagement with Indigenous data. This framework contributes to broader discussions on digital ethics by prioritizing relational accountability, contextual integrity, and cultural sustainability in technological development within the Cameroonian context.