Computerized clinical support is vulnerable to bias due to widespread health care inequalities that feed into the systems. This article discusses the need for collective effort to increase equitable application of artificial intelligence through a recognition of latent factors at the clinician, patient, and policy levels that contribute to algorithmic biases.