Just when you thought you heard it all, AI systems designed to spot cancer have startled researchers with a baked-in penchant for racism. To conduct the study, researchers at Harvard University combed through nearly 29,000 cancer pathology images from some 14,400 cancer patients. In effect, AI would go on to replicate bias resulting from gaps in AI training data. Once an AI pathology tool had identified a person’s race, they became overly-obsessed with finding previous analyses that fit that particular identifier. In that case, results showed AI tools often proposed “inferior treatment” plans for Black patients whenever their race was explicitly known.