AI Risk Governance for Financial Institutions

March 11, 2026

Overview

This is a placeholder white paper for the Chris Nobili hub preview. It sketches themes an FI risk or data leader might expect when evaluating AI programs.

Themes

Model risk management, Extend existing MRM practices to generative and agentic systems without inventing parallel bureaucracy.
Data lineage & provenance, Treat training and retrieval corpora as control-relevant assets.
Human accountability, Keep decision ownership clear when models assist underwriting, monitoring, or customer workflows.
Board reporting, Translate technical metrics into residual risk and control effectiveness language.

Next steps (placeholder)

Replace this MDX with a full paper.
Add figures or tables as needed.
Link related research notes under /research.