ENGINEERING BLOG
Technical research and engineering insights from the team building the operating system for responsible AI operations.
121 articles · Published by MARIA OS
Responsibility as a conserved quantity: how to allocate it without leakage
When multiple agents collaborate on one decision, accountability allocation becomes a formal design problem. This paper models responsibility as a conserved continuous resource that must sum to 1.0 per decision. We derive allocation functions that balance agent autonomy with human accountability, analyze fail-closed constraints, and show how gate strength shifts the autonomy-accountability frontier.
A formal model proving that AI adoption creates an illusion of reduced responsibility while outcome responsibility remains conserved
When organizations automate decisions, responsibility is often perceived as reduced. This paper separates execution responsibility from outcome responsibility, defines a formal transfer quantity `T(h->a)`, and derives a conservation result where total outcome responsibility remains invariant under automation.
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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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