arXiv (All)
open access
Compliant with Local Controls, Collectively Discriminatory. A Governance Architecture for Multi-Agent AI in Regulated Finance
Financial institutions are beginning to deploy agentic workflows in credit, fraud, collections, compliance, and operational control. Governance remains largely component-centric: each model or agent is specified, tested, authorized, and monitored locally. That is insufficient when institutional risk
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Multi-Agent Systems : 23rd European Conference, EUMAS 2026, Malmö, Sweden, September 23-25, 2026, Proceedings / edited by Fabian Lorig, Paul Davidsson, Franziska Klügl, Valérie Camps, Juan Carlos Nieves Sanchez, Elsy Kaddoum#1078457
- An Unexpected Correspondence: Governance Architecture and the Conditions for Agency#214386
- Law and Legitimacy in Multi-Level Governance#169245
- Law and Legitimacy in Multi-Level Governance#167949
- The Responsibility Gradient: A Model for Allocating Responsibility in Human-AI Collaboration Based on Existential Cost#165311
Record · ID 1064538
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive