Treasury Releases Two New Resources to Guide AI Use in the Financial Sector

Published in Georgia Department of Banking & Finance’s monthly bulletin

In support of President Trump’s AI Action Plan, which calls for clear standards, shared understanding, and risk-based governance to ensure artificial intelligence (AI) is deployed safely and responsibly, the U.S. Department of the Treasury (Treasury) released two new resources to guide AI use in the financial sector: a shared Artificial Intelligence Lexicon and the Financial Services AI Risk Management Framework (FS AI RMF).

These resources support quicker and more widespread adoption of AI in the financial sector by strengthening common terminology and risk management practices for AI, via more robust AI cybersecurity and improved operational resilience. Developed through the Financial and Banking Information Infrastructure Committee and the Financial Services Sector Coordinating Council’s Artificial Intelligence Executive Oversight Group (AIEOG), the publications advance implementation of the Action Plan by translating national AI priorities into practical tools for financial institutions, regulators, and technology providers.

As financial institutions increasingly rely on AI to support decision-making, customer engagement, and operational functions, inconsistent terminology and uneven risk management practices have created challenges for effective governance and oversight. The AI Lexicon addresses these challenges by establishing common definitions for key AI concepts, capabilities, and risk categories, enabling clearer communication across regulatory, technical, legal, and business functions and supporting more consistent supervision and implementation.

Building on this shared foundation, the FS AI RMF adapts the National Institute of Standards and Technology AI Risk Management Framework to the specific operational, regulatory, and consumer protection considerations of financial services. The FS AI RMF provides practical tools and reference materials to help institutions evaluate AI use cases, manage risks across the AI lifecycle, and embed accountability, transparency, and resilience into AI deployment decisions. The framework is designed to be scalable and flexible, supporting adoption by institutions of varying size and complexity.

The AI Lexicon and FS AI RMF are part of a coordinated series of AIEOG deliverables addressing priority areas such as identity, fraud, explainability, and data practices.

Together, these efforts reflect the Administration’s emphasis on public-private collaboration and implementation-focused solutions that strengthen trust, resilience, and accountability as AI adoption accelerates. Read entire March 2026 DBF bulletin.