Artificial intelligence and machine learning are increasingly integral to value-based care models, which rely heavily on data and data analytics. However, these resources can also work against value-based care if they introduce or perpetuate negative biases. Marzyeh Ghassemi, a principal investigator at MIT’s Jameel Clinic, shares how to avoid negative biases in artificial intelligence and machine learning in the value-based care context.