Studies find bias in AI models that recommend treatments and diagnose diseases

New research shows that AI models designed for health care settings can exhibit bias against certain ethnic and gender groups.

Machine learning models for healthcare hold promise in improving medical treatments by improving predictions of care and mortality, however their black box nature, and bias in training data sets leaves them vulnerable to instead hinder the effectiveness of critical care. This article explores various research studies to explore bias within AI healthcare technologies.