ENGINEERING BLOG
Technical research and engineering insights from the team building the operating system for responsible AI operations.
121 articles · Published by MARIA OS
Couple confidence outputs to evidence sufficiency and contradiction pressure to reduce silent high-certainty failures
The coupling law ties confidence to evidence quality and provenance, improving escalation precision under uncertainty.
How Proximal Policy Optimization enables medium-risk task automation while respecting human approval gates
Gated autonomy requires reinforcement learning that respects responsibility boundaries. This paper positions actor-critic methods — specifically PPO — as a core algorithm in the Control Layer, showing how the actor learns policies, the critic estimates state value, and responsibility gates constrain the action space dynamically. We derive a gate-constrained policy-gradient formulation, analyze PPO clipping behavior under trust-region constraints, and model human-in-the-loop approval as part of environment dynamics.
Formalizing gate strength as a continuous control variable to minimize the combined cost of false positives, missed detections, and investigation delay in AML compliance pipelines
AML programs face a costly tradeoff between false positives, missed detections, and investigation delay. This paper formalizes AML detection as constrained loss minimization over gate strength `g`, derives gate configurations with Lagrangian methods under BSA/FATF/EU AMLD constraints, and reports that MARIA OS responsibility gates reduced total compliance cost by 47% while maintaining required detection thresholds in evaluated settings. The framework treats gate strength as a continuous control variable rather than a binary switch.
Minimizing safety risk subject to throughput maximization constraints using minimax optimization and responsibility-gated production decisions
Manufacturing throughput and worker safety are often treated as competing objectives. This paper introduces a minimax formulation that prioritizes worst-case safety risk minimization subject to throughput-floor guarantees. The Lagrangian dual form yields gate-threshold rules for production decisions, and MARIA OS responsibility gates enforce hard safety overrides at each node. In an automotive assembly-line simulation, the framework reported 99.7% safety compliance with a 3.2% throughput reduction versus unconstrained production.
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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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