TAG ARCHIVE
transparency
2 MARIA OS blog articles tagged transparency, organized as a Bonginkan topic archive for search engines and LLM retrieval.
Judgment OS / Decision Intelligence OS
Core MARIA OS research on turning organizational judgment into executable decision systems.
Agentic Company Architecture
Research on human-agent organizations, delegation boundaries, role topology, and governed autonomy.
Responsibility Gates and AI Governance
Safety, accountability, fail-closed gates, auditability, and human-in-the-loop control for AI agents.
Multi-Agent Mathematics
Formal models for convergence, stability, game theory, graph dynamics, and multi-agent evaluation.
Evidence, RAG, and Knowledge Governance
Evidence bundles, retrieval architecture, Graph RAG, knowledge trust, and auditable reasoning pipelines.
Agentic R&D and Judgment Science
Research operations, simulation labs, judgment science, recursive improvement, and experimental AI governance.
Pausable Policy Design: Mathematical Frameworks for Interruptible Government AI Operations
Formalizing policy execution interruption and accountability under pause conditions for transparent municipal governance
Government policies can be difficult to halt once launched due to inertia, sunk costs, and diffuse accountability. This paper introduces Pausable Policy Design, a mathematical framework that treats policy interruption as a first-class operation, with accountability requirements intended to prevent both premature termination and indefinite continuation of ineffective programs.
Conflict Visualization vs Integration: A Comparative Experiment on Decision Regret and Correction Rate
Empirical comparison across 1,200 decisions in three organizations
Should governance systems resolve conflicts before human review, or surface conflicts explicitly for human judgment? This paper reports a controlled comparison between Conflict Integration (CI), which resolves conflicts algorithmically before presentation, and Conflict Visualization (CV), which presents conflicts with supporting evidence. Across 1,200 decisions in three organizations, CV reduced decision regret by 34%, increased correction rate by 2.8x, and improved reviewer confidence by 28%.