Treasury launches AI series
The U.S. Treasury kicked off an Artificial Intelligence Innovation Series this week, convening finance and tech leaders to set standards and push responsible AI adoption in financial services. The initiative aims to harmonize terminology and best practices across industry players — a sign regulators want coordination as advisors adopt new tools. (home.treasury.gov) (finance.coin-turk.com)
The Office of the Financial Stability Oversight Council (FSOC) and the Treasury Department’s Artificial Intelligence Transformation Office (AITO) launched the AI Innovation Series on March 23, 2026, framing it as a public‑private initiative that will run four roundtables. (publicnow.com) Treasury Secretary Scott Bessent said the department will “optimize regulation to support growth for both Main Street and Wall Street” and called leadership in AI adoption a component of economic security in the announcement. (publicnow.com) Paras Malik, identified in the release as Treasury’s chief AI officer and counselor to the secretary, said the Innovation Series will convene regulators and industry leaders to ensure governance frameworks evolve alongside deployment. (pymnts.com) Deputy Assistant Secretary for FSOC Christina Skinner warned the release that when institutions cannot deploy AI tools for fraud detection, credit allocation and operational resilience “the system becomes less efficient and less secure.” (publicnow.com) The Innovation Series follows Treasury’s Feb. 19, 2026 publication of two sector resources—the AI Lexicon and the Financial Services AI Risk Management Framework—released as voluntary guidance to standardize terminology and governance. (finadium.com) Treasury’s Financial Services AI Risk Management Framework adapts NIST guidance and includes 230 control objectives mapped to stages of AI adoption; the framework and lexicon were developed through the Artificial Intelligence Executive Oversight Group with input from more than 100 financial institutions. (executivegov.com) (fsscc.org) Treasury described the roundtables’ scope as identifying high‑value AI use cases across fraud detection, cybersecurity, credit underwriting and operational risk management while addressing regulatory friction that can slow scalable AI deployment. (creati.ai)
