A Physician-Led Governance Initiative

Medicine
First.

Governing Artificial Intelligence at the Point of Care

"When I am in that room with a patient, they are my sole focus. They are my universe. Not logistics. Not a population cohort. That individual — irreplaceable, irreducible, mine to protect."

— John C. Ferguson, MD, FACS  |  Surgeon & AI Systems Developer
Submission to UN Global Dialogue on AI Governance  ·  Geneva, July 2026
Physician Voices
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Healthcare AI and Medical AI are not the same problem.

The governance framework currently under development addresses most AI applications appropriately. But there is a category that is structurally absent — and its absence is the most significant gap the Global Dialogue has the opportunity to close.

Healthcare AI
Operates on populations
Statistical error tolerance exists
Failures are correctable and systemic
Consequence: a metric moves
Belongs in the current framework
Medical AI
Operates on individuals
Zero tolerance for added error
Failures may be irreversible
Consequence: a patient is harmed
Requires its own governance category

When a Medical AI system contributes to a failure of patient care, the physician carries the consequence — their license, their liability, their relationship with that patient. The AI company carries a disclaimer.

That asymmetry is not a legal technicality. It is a governance signal.

The patients endure the consequences. The physicians carry the accountability. The AI systems do neither. That asymmetry of consequence must determine the asymmetry of authority.


Done right, Medical AI delivers individual-focus care to patients who have never had access to it — the patient in a rural clinic in sub-Saharan Africa, the patient in an underserved community with no specialist within reach, the patient whose disability makes access to traditional care harder than it should be.

Done wrong, Medical AI exports the accountability asymmetry to the populations with the least recourse when it fails. Governing Medical AI correctly is not in tension with the accessibility mission. It is the precondition for achieving it.


01
Distinct Category

Formally recognize Medical AI as a separate governance category in the Co-Chairs' summary and thematic framework for Geneva.

02
Competency Threshold

Require Medical AI systems to demonstrate specialty board-level clinical reasoning before deployment in a given domain.

03
Red Teaming

Mandate independent adversarial testing before deployment to identify safety-circumvention vulnerabilities.

04
Physician Authority

Embed explicit physician decision-making authority into deployment standards — not left to institutional interpretation.

Submit to the UN Global Dialogue on AI Governance

A formal written submission will be entered into the record of the United Nations Global Dialogue on Artificial Intelligence Governance, established under General Assembly Resolution 79/325. The inaugural Dialogue convenes in Geneva, July 6–7, 2026.

Physician signatories will be included in the official submission record presented at Geneva.

Medical AI as a Distinct Governance Category: A Submission to the Global Dialogue on AI Governance
UN Global Dialogue on AI Governance  ·  March 2026  ·  Multistakeholder Submission
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John C. Ferguson, MD, FACS
Global Fellow, AI2030 Initiative for Ethical AI
President-Elect, American Board of Facial Cosmetic Surgery
Surgeon & AI Systems Developer, Honolulu, Hawaii
Enam Satti, MBBS
Physician
Clinical AI Safety Advocate
Member, AI2030 Initiative for Ethical AI

Sign the Submission

Physicians, healthcare professionals, and policy makers who support the recognition of Medical AI as a distinct governance category are invited to add their names. Signatories will be included in the formal UN submission record and presented at the Geneva Dialogue in July 2026.

"I support the recognition of Medical AI — artificial intelligence operating at the point of individual patient care — as a distinct governance category requiring its own deployment standards, competency thresholds, and accountability framework, separate from population-level healthcare AI."

Your email address will not be published and will only be used for submission confirmation and updates.

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Those Who Have Signed

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