Traci Tamiko Eto, a former Mayo Clinic AI leader, has said the globally recognized hospital system buried serious flaws in a medical tool and then pushed her aside after she raised objections.
One of the lawsuit's most notable allegations is that employees working on an AI assistant knew it could make errors roughly two-thirds of the time.
According to Minnesota Public Radio, Eto — a former Mayo Clinic research director and AI compliance lead — has brought a civil lawsuit alleging the hospital retaliated against her when she reported privacy, data security, and regulatory problems tied to its AI work.
Eto arrived at Mayo Clinic in 2023, MPR reported, and soon raised possible privacy concerns involving the Mayo Clinic Platform, an AI-integrated data system. She alleges her supervisor said addressing the issue would "jeopardize the pace on ongoing research projects, which in turn would compromise Mayo's competitive advantage."
In her suit, Eto also challenges work on MAYA, the clinic's AI-integrated digital assistant. She alleges the team overstated the tool's capabilities, removed unfavorable test results, and made choices that endangered data security. MPR also reported that one of her 10 whistleblower complaints said MAYA staff knew the assistant had a 67% error rate.
Her lawsuit says the consequences escalated after she kept reporting those issues. She was excluded from executive meetings in early 2025 and told she was a "poor cultural fit." Eto further...
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