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A former research director at Mayo Clinic is suing the health system, alleging she was retaliated against and ultimately terminated for raising concerns about the institution's AI practices.
A former research director at Mayo Clinic is taking legal action against the prestigious healthcare provider, alleging retaliation and wrongful termination. Traci Tamiko Eto, who joined Mayo Clinic in December 2023 as the director of research operations, claims she was fired after exposing significant issues with the health system’s use of artificial intelligence (AI).
Eto's lawsuit, filed on Monday in the U.S. District Court for the District of Minnesota, alleges that Mayo Clinic violated the retaliation provisions of the False Claims Act, the Americans with Disabilities Act (ADA), and the Family and Medical Leave Act. Her legal team, HKM Employment Attorneys Artur Davis and Rebecca Rojas, argue that Eto faced systematic exclusion from key projects and meetings after she raised concerns about AI practices.
Eto's role at Mayo Clinic included overseeing compliance with a Biden administration executive order on AI security and privacy safeguards. Over 18 months, she discovered what the complaint describes as "a disturbing set of flaws in Mayo’s AI compass." These issues ranged from patient privacy gaps to fundamental lapses, including data manipulation to hide unfavorable outcomes and software deployment without proper oversight.
In February 2025, Eto filed an internal report with the legal department detailing these concerns. According to the complaint, this action led to her exclusion from projects and operational planning sessions, as well as a rollback of her supervisory authority. In April 2025, she was placed on a performance improvement plan for vague reasons related to being a "poor cultural fit."

Eto's termination came in September 2025, coinciding with her return from medical leave. The health system informed her that her position was part of a restructuring and offered her the opportunity to apply for internal positions within a 90-day period. Despite applying for 15 jobs, she received only one interview before being officially terminated on December 1.
This lawsuit highlights the complex dynamics between advancing AI in healthcare and ensuring ethical and legal standards are met. Mayo Clinic, known for its cutting-edge research and patient care, has been at the forefront of integrating AI into medical practices. However, Eto's allegations raise serious questions about transparency and accountability within such initiatives.
The implications of this case extend beyond Mayo Clinic. As more healthcare systems adopt AI technologies, the industry must grapple with how to balance innovation with patient safety and data privacy. Eto’s lawsuit serves as a cautionary tale for institutions that may overlook or retaliate against employees who raise legitimate concerns about AI practices.
For patients and healthcare professionals alike, this case underscores the importance of robust oversight and whistleblower protections. It also highlights the need for clear guidelines and transparent processes to ensure that AI is used ethically and effectively in medical settings.
The outcome of Eto's lawsuit could set a precedent for how other institutions handle similar situations. As the legal proceedings unfold, they will likely draw attention from both the healthcare and technology sectors, potentially influencing future policies and practices related to AI in medicine.
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Former Mayo Clinic research director sues system over alleged retaliation for raising AI practice concerns
↗ https://www.fiercehealthcare.com/ai-and-machine-learning/former-mayo-clinic-research-director-sues-system-over-alleged-retaliation
About the author
Amara's entry point into AI was an epidemiology role at a London research hospital, where she spent five years studying how digital health tools reached — or conspicuously failed to reach — underserved communities. Watching early algorithmic systems in healthcare quietly entrench existing inequalities, she redirected her career toward the systemic consequences of AI at scale. She covers AI through an unflinching lens: who benefits, who bears the cost, and what evidence actually says versus what the press release claims. Her writing is calm and precise, but she doesn't mistake balance for neutrality.
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20 July 2026
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