SOURCE-LINKED INTELLIGENCE
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 arises from the joint behavior of many locally acceptable components. We call this gap constitutional non-compositionality: local compliance checks need not compose into acceptable collective outcomes such as bounded disparate impact, market integrity, or traceable accountability. We propose ARIA a
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-23T12:25:37.000Z
First collected: 2026-09-24T01:22:21.678Z. This is not the publication date.