TAG ARCHIVE
responsibility-gate
2 MARIA OS blog articles tagged responsibility-gate. Safety, accountability, fail-closed gates, auditability, and human-in-the-loop control for AI agents. This canonical topic archive supports 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.
自治体AI電話を導入して分かった、代表電話業務がAI化できる条件
代表電話のAI化は音声認識ではなく、用件分類・責任境界・有人転送条件・改善ループの設計で決まる
自治体や公共性の高い組織で代表電話をAI化する時、成否を決めるのは自然な会話ではなく、誰が責任を持つ用件なのかを正しく切り分ける設計である。AI電話をFAQではなく業務ハーネスとして捉える。
Pricing Responsibility in Retail AI: Welfare-Constrained Dynamic Pricing with Fail-Closed Gates
A formal framework for ensuring AI-driven pricing decisions preserve consumer welfare through responsibility gates and counterfactual fairness constraints
Dynamic pricing algorithms optimize revenue in real time, but unconstrained optimization can increase vulnerability and unfair outcomes. This paper introduces a Pricing Responsibility Gate that evaluates each price change against welfare constraints, fairness criteria, and reversibility conditions, so AI pricing can remain within explicit governance boundaries while preserving business value.