Mitigating Biases in Training Data: Technical and Legal Challenges for Sub-Saharan Africa
Alexander Oluka
Abstract:The study examines the challenges of mitigating biases in AI training data within Sub-Saharan Africa. A qualitative research approach with semi-structured interviews was employed to gather insights from eight participants with law, IT, and academic background. Thematic analysis was utilised to categorise the data into key themes, revealing insights into the complexities of developing fair AI technologies that reflect the socio-cultural diversity of the region. The findings emphasise the importance of incorpora… Show more
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