Kenya's AI Health Insurance Means Test Reportedly Overcharged Poor Households and Obstructed Care

Summary

Kenya's Social Health Authority reportedly used a machine-learning means test to set health insurance premiums. Investigators alleged that income overestimation burdened poor households with unaffordable charges. A Nairobi laundry worker was reportedly sent home before surgery and could not afford follow-up care. The technical audit used a reconstruction; the exact deployed model and implementation of proposed changes were not confirmed. SHA defended the model as equitable.

Developers

• Ministry of Health (Kenya)
• Governments
• Government agencies
• Government of Kenya
• Palladium
• Healthcare administrative AI developers
• David Khaoya
• IDinsight

Deployers

• Social Health Authority (Kenya)
• Governments
• Government of Kenya
• Ministry of Health (Kenya)
• Government agencies

Harmed parties

• Economically vulnerable patients
• Patients
• Low-income households in Kenya
• General public
• General public of Kenya
• Peris Nduta
• Florence Atieno