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.
A continuous-valued framework for measuring decision reversibility and calibrating governance accordingly
Not all decisions carry equal risk; reversibility is a key differentiator. A reversible pricing change and irreversible contract execution have distinct risk profiles, yet many governance systems handle them similarly. This paper defines a continuous reversibility function Rev(d) in [0,1], derives risk-amplification behavior for low-reversibility decisions, and shows why optimal gate strength is inversely related to reversibility. In reported deployments, reversibility-aware gating achieved 41% lower realized risk with 22% fewer human escalations.
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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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