Financial Services AI Risk Management Framework Overview

This document is a client alert detailing the Financial Services AI Risk Management Framework (FS AI RMF), which was developed to address governance challenges in the financial services sector related to artificial intelligence (AI). It outlines the framework's purpose as a remediation blueprint rather than a compliance checklist, emphasizing the need for financial institutions to understand and govern their AI systems effectively. The FS AI RMF introduces 230 control objectives across various domains, including governance, data management, model development, and consumer protection. The document explains the framework's components, such as the AI Adoption Stage Questionnaire and the Risk and Control Matrix, which align control expectations with AI deployment levels. It also discusses the importance of operationalizing these controls within existing governance programs and highlights the implications for consumer protection, including fairness, explainability, and accountability. The framework aims to help institutions confront legacy data issues and improve their AI governance posture before regulatory expectations solidify.