When the Algorithm is Blind: AI, Data Bias, and the South African Patient
This article explores how bias in artificial intelligence (AI) systems affects healthcare outcomes for South African patients. It highlights real-world examples, including the inaccuracy of pulse oximeters on darker skin and the disproportionate targeting of Black healthcare providers by fraud detection algorithms. Drawing on case studies and policy developments, including South Africa’s National AI Policy Framework, the article examines how biased data can reinforce inequality in medical decision-making. It calls for inclusive data practices, transparent algorithm design, and ethical oversight to ensure AI technologies serve all South Africans fairly and effectively.
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