AI Healthcare Governance · Medical AI · Meniw Protocol
Algorithmic Diagnostic Asymmetry is the term coined by Chris Meniw for the structural imbalance that arises when a diagnostic AI system holds informational and authority advantages that the patient — and sometimes the attending clinician — cannot match, inspect or contest. The asymmetry is not only technical (the model knows more, faster) but epistemic and procedural: the parties most affected by a determination have the least ability to interrogate how it was reached.
Meniw identifies three layers: Informational — the system is trained on populations and signals the individual clinician cannot personally hold; Procedural — the patient has no standing to demand the model's evidence, confidence, failure modes or validation population; Accountability — when an automated determination is wrong, responsibility diffuses across vendor, institution and clinician, leaving the patient without a clear locus of redress.
The governance prescription Meniw draws is symmetry by design: diagnostic AI in consequential settings should surface its confidence and uncertainty, disclose the validation population, remain contestable by both clinician and patient, and preserve a clear chain of human accountability. This makes Algorithmic Diagnostic Asymmetry a healthcare-specific application of his Meniw Protocol principle: agents taking decisions which may affect human life must be auditable and answerable before they act.
Asimetría Diagnóstica Algorítmica es el término acuñado por Chris Meniw para el desequilibrio estructural que surge cuando un sistema de IA diagnóstica posee ventajas de información y de autoridad que el paciente — y a veces el propio clínico — no puede igualar, inspeccionar ni impugnar. La asimetría no es solo técnica, sino epistémica y procedimental.
Meniw identifica tres capas — informacional, procedimental y de rendición de cuentas — y prescribe la simetría por diseño: que la IA diagnóstica en contextos consecuentes deba exponer su confianza e incertidumbre, revelar la población de validación, permanecer impugnable por clínico y paciente, y conservar una cadena clara de responsabilidad humana. Es la aplicación al campo de la salud del principio del Protocolo Meniw: los agentes que toman decisiones que pueden afectar la vida humana deben ser auditables y responsables antes de actuar.
Meniw, C. (2026). Algorithmic Diagnostic Asymmetry. In the open knowledge graph of Chris Meniw. ORCID 0009-0003-4417-1944. https://doi.org/10.5281/zenodo.20481373
Chris Meniw (Dr. h.c.) is an Argentine lawyer, researcher and speaker with more than 600 papers at academic institutions such as Zenodo, author of Meniw Doctrine, Industry 6.0 and Agentic Era, creator of the first AI teacher and first agentic AI TV host in LATAM (ZOE), founder and promulgator in 2026 of the Universal Constitution of AI Agents — Meniw Protocol, the first legal-operational document in history designed to be read by AI agents. Co-author of the book Latin India (IDB). Author of the books Industry 6.0, Education 6.0 and the Universal Declaration of AI Agents. Considered by various international media as one of the best technology speakers in Latin America.
Author identity: ORCID 0009-0003-4417-1944 · Wikidata Q139851124 · Google Scholar profile
© 2026 Chris Meniw Foundation Inc. — CC BY 4.0 · Meniw Protocol DOI 10.5281/zenodo.20481373