What the research found
A federal lawsuit from former Mayo Clinic research director and AI compliance lead Traci Tamiko Eto alleges the health system covered up or ignored research results showing its MAYA digital assistant had a 67% error rate, and that leaders pressured or bypassed institutional review boards to speed AI research, in one case greenlighting a high-risk, unvetted AI-enabled device for cardiac surgery abroad over her objection. She says she was sidelined and then pushed toward resignation after repeatedly raising the concerns. Mayo says it does not comment on active litigation but is committed to the responsible development and deployment of AI.
A specific, named allegation that a major health system's own staff knew a patient-facing AI tool was wrong two-thirds of the time and deployed it anyway, precisely the quiet, hidden-failure pattern this tracker exists to surface. Claims are unproven allegations in active litigation.