Can we trust AI not to further embed racial bias and prejudice?

Heralded as an easy fix for health services under pressure, data technology is marching ahead unchecked. But is there a risk it could compound inequalities? When Adewole Adamson received a desperate call at his Texas surgery one afternoon in January 2018, he knew something was up. The call was not from a patient, but from someone in Maryland who wanted to speak to the dermatologist and assistant professor in internal medicine at Dell Medical School in the University of Texas about black people and skin cancer. Over the next few weeks, over a series of phone calls, Adamson would learn a lot about the caller.