Latest / AI Ethics with Fexingo: Bias, Safety, and Responsible Artificial Intelligence
The Hospital Algorithm That Fails Black Patients
Lucas and Luna examine a real-world case where a widely used healthcare algorithm, designed to manage chronic disease care, systematically underestimated the health needs of Black patients. Data from a 2019 Science study shows the algorithm was 50% less likely to flag Black patients for extra care compared to white patients with the same chronic conditions. They break down how a flawed proxy—healthcare spending rather than actual illness—introduced racial bias, why the hospital network initially missed the problem, and the practical fix the researchers proposed. The episode also explores why…
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