Considering Biased Data as Informative Artifacts in AI-Assisted Health Care
Kadija Ferryman, Maxine Mackintosh, Marzyeh Ghassemi
Abstract
Medical AI tools that are trained on skewed data may exhibit bias. The authors discuss how thinking of clinical data as artifacts can identify values, practices, and patterns of inequity in health care.
Topics & Concepts
Health carePsychologyData scienceHealth dataComputer scienceArtificial intelligencePolitical scienceLawArtificial Intelligence in Healthcare and EducationMachine Learning in HealthcareHealthcare cost, quality, practices