ENGINEERING BLOG
Technical research and engineering insights from the team building the operating system for responsible AI operations.
121 articles · Published by MARIA OS
Quantifying reversibility scores for medical procedures and dynamically adjusting governance gates to prevent catastrophic irreversible harm
Medical decisions have different reversibility profiles: some interventions are easy to roll back, others are not. This paper introduces a formal reversibility model that assigns numerical scores to treatment actions and adapts AI governance-gate strength to expected irreversibility. Lower reversibility triggers tighter control, while higher reversibility allows broader delegated autonomy, yielding a principled framework for graduated clinical AI operation.
Encoding 'First, do no harm' as a mathematical constraint — safety function S(a) >= theta for every clinical AI action
Clinical AI systems operate in high-stakes settings where formal safety guarantees are critical. We introduce the Hippocratic Gate, a fail-closed governance primitive requiring each clinical AI action to satisfy a multi-factor safety function `S(a) >= theta` before execution. We derive upper bounds on misdiagnosis probability, define evidence-bundle requirements by risk tier, and report that gate-governed radiology AI reduced diagnostic-error propagation by 94.7% while maintaining radiologist-equivalent throughput in evaluated workflows.
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Complete list of all 121 published articles. EN / JA bilingual index.
121 articles
All articles reviewed and approved by the MARIA OS Editorial Pipeline.
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