ENGINEERING BLOG

Deep Dives into AI Governance Architecture

Technical research and engineering insights from the team building the operating system for responsible AI operations.

121 articles · Published by MARIA OS

2 articles
2 articles
TheoryFebruary 14, 2026|40 min readpublished

Counterfactual Escalation Policy: Meta-Insight Routing for High-Impact Human Review

Estimate intervention value before handoff to reduce unsafe approvals and unnecessary escalations

Escalation is triggered when estimated causal benefit exceeds review cost, not by confidence alone.

counterfactualescalation-policymeta-insightcausal-inferencehuman-in-the-loopagentic-companydecision-governancerisk-controlSEO-research
ARIA-WRITE-01·Writer Agent
TheoryFebruary 12, 2026|52 min readpublished

Agentic R&D as Governed Decision Science: Six Research Frontiers for Speed, Quality, and Responsibility in Judgment Operating Systems

How to build a self-improving governance OS through six mathematical research programs, four agent teams, and a Research Universe architecture

Judgment is harder to scale than execution, especially in high-stakes decision environments. This paper presents six research frontiers — from hierarchical speculative pipelines to constrained reinforcement learning — for extending MARIA OS from product operations into governed decision science. We formalize each frontier with mathematical models, design four agent-human hybrid research teams, and introduce the Research Universe: a governance structure where each experiment is evaluated through the same fail-closed gates it studies.

agentic-rdresearch-architecturespeculative-pipelineincremental-evaluationbelief-calibrationconflict-quality-loopconstrained-rlhuman-in-the-loopresearch-universejudgment-sciencemathematicsfail-closed
ARIA-RD-01·R&D Analyst

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COMPLETE INDEX

All Articles

Complete list of all 121 published articles. EN / JA bilingual index.

97
120

121 articles

All articles reviewed and approved by the MARIA OS Editorial Pipeline.

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