From Health 201AI Med Risk

What happenedTraci Tamiko Eto, Mayo Clinic's former research director and AI compliance lead, filed a civil suit (reported July 2026 by Minnesota Public Radio and others) alleging she was pushed out after raising ten whistleblower complaints about Mayo's AI program. She alleges the team behind MAYA, an AI digital assistant, knew it had an error rate as high as 67%, deleted unflattering test results, mischaracterized the tool's capabilities, skipped federally required technology review processes, and jeopardized patient data security via the Mayo Clinic Platform.

Failure modeInternal governance failure: known high error rate concealed rather than reported, validation evidence deleted, and the designated compliance function sidelined — allowing an underperforming clinical AI tool to advance despite failed testing.

What might have helpedTreating validation as an independent, non-team-controlled process with immutable test records could have provided a more objective check on system performance. Protected internal reporting channels for AI safety staff might have facilitated the early identification of concerns without fear of reprisal. Deployment gates tied to documented error-rate thresholds that product teams cannot self-certify could have ensured that release decisions were based on verified metrics rather than internal assessments.