Racial Differences in Medical Testing Could Introduce Bias to AI Models

Researchers at the University of Michigan have not only identified bias in medical testing but also a way to correct this bias in data sets used to train AI. Jenna Wiens, U-M associate professor of computer science and engineering and corresponding author of a new study, explores key findings, including the importance of accurate data to AI health models.