Decolonizing African NLP: A Survey on Power Dynamics and Data Colonialism in Tech Development
Keywords: Decolonization, African NLP, Data colonialism, Data sovereignty, Case studies, Artificial Intelligence
TL;DR: This paper discusses decolonizing African NLP by tackling power dynamics and data colonialism. It emphasizes inclusive development, data sovereignty, and calls for interdisciplinary collaboration to ensure a fair digital future for Africa.
Abstract: This research paper explores the imperative to decolonize African Natural Language Processing (NLP) by addressing power dynamics and data colonialism within technology development. Grounded in the historical context of colonialism in Africa, the paper examines the pervasive influence of colonial legacies on NLP research and development, highlighting the marginalization of African languages, cultures, and voices. Through an analysis of power dynamics, the paper advocates for diversifying representation within the NLP community, empowering local communities, and challenging Eurocentric frameworks to foster more inclusive and equitable technology development. Additionally, the paper explores the concept of data colonialism and its implications for African NLP, emphasizing the need for data sovereignty, community ownership, and ethical data practices. Case studies and examples illustrate the transformative potential of decolonial approaches within African NLP, while future directions outline pathways for advancing the decolonial agenda through interdisciplinary collaboration, policy advocacy, and community engagement. Ultimately, the paper calls for collective action and solidarity within the NLP community to dismantle colonial legacies and forge a more just and inclusive digital future for Africa and beyond.
Submission Number: 16
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