My name is Anderson Monken. I am the Chief AI Officer of the Federal Reserve Board.

I lead the Federal Reserve Board’s enterprise AI program, overseeing technology, adoption, and governance to enable responsible AI use across the organization. My work spans AI strategy, risk management, AI platform management, and applied research in machine learning and natural language processing.

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Board AI Program

Anderson Monken

Chief AI Officer, Federal Reserve Board of Governors

I believe AI can fundamentally transform how government organizations operate and innovate when data, technology, and organizational practice are aligned. As the Federal Reserve Board’s inaugural Chief AI Officer, I lead the Board’s enterprise AI program across technology, governance, and adoption.

The views in this website are solely the responsibility of the author and should not be interpreted as reflecting the views of the Board of Governors of the Federal Reserve System or of any other person associated with the Federal Reserve System.

Education

MS in Data Science and Analytics

Georgetown University
BA in Chemistry, Economics, and Mathematics

Vanderbilt University

Interests

Artificial Intelligence
Natural Language Processing
Big Data

Experience

Chief Artificial Intelligence Officer (CAIO)

Division of Information Technology - Federal Reserve Board of Governors

Jul 2024 – Present Washington, D.C.

As the Federal Reserve Board’s inaugural Chief AI Officer, I am responsible for all aspects of the Board’s AI use:

promoting responsible AI innovation
organizing AI-enabling infrastructure and AI capabilities development
managing the risks of using AI
engaging with external peers to benchmark AI governance efforts
complying with regulations and government directives on AI
coordinating a measured and thoughtful approach to AI uses

In December 2025, I established the AI Program Office in the Division of Information Technology, reporting to the Chief Data Officer, to formalize and expand the Board’s AI governance and adoption efforts.

Key outputs include the Board AI Use Case Inventory and the Board AI Compliance Plan.

Group Manager

International Finance Division - Federal Reserve Board of Governors

Feb 2022 – Dec 2025 Washington, D.C.

I am the inaugural manager for the Data Science and Application Development (DSAD) group in the International Finance Division. The team serves as in-house experts in application design, UX design, robotic process automation, data science, big data, and artificial intelligence for research, policy, and operational needs at the Federal Reserve Board.

I lead a team of 5 full-time data scientists and application developers who manage application and data products that serve hundreds of internal staff. We contribute to the Board’s cloud adoption, artificial intelligence maturity development, and maintain several important climate, textual, and trade databases.

In the Fall 2022 and Spring 2023 semesters, I served as the Instructor of Record for the Howard University course run by the Federal Reserve Board on statistical programming and economic literacy.

Adjunct Professor

Data Science and Analytics Program - Georgetown University

Jun 2021 – Jun 2024 Washington, D.C.

Selected for expertise in big data, cloud computing, and data science. In this role, I teach graduate students skills in machine learning, data science, and big data. View my faculty profile.

Show earlier experience

Technology Analyst

International Finance Division - Federal Reserve Board of Governors

Oct 2018 – Feb 2022 Washington, D.C.

Responsibilities included:

Research on international trade using machine learning and artificial intelligence
PySpark textual analysis on big data
Business-to-infrastructure problem solving
Hadoop database management, data wrangling, and education to staff
Staff education programs on data science and machine learning topics
Leadership in community of practice groups for R and cloud

Senior Research Assistant

International Finance Division - Federal Reserve Board of Governors

Jul 2018 – Sep 2018 Washington, D.C.

Accomplishments:

Upgraded macroeconomic forecasting architecture
Researched developments in labor force participation in advanced economies
Forecasted economic growth indicators (i.e., GDP, CPI, interest rates, output gap) for Sweden, Norway, and Denmark, as well as wrote country briefing notes detailing economic conditions

Research Assistant

International Finance Division - Federal Reserve Board of Governors

Jun 2017 – Jul 2018 Washington, D.C.

Accomplishments:

Initiated overhaul of daily data update programs using robotic process automation to reduce errors and improve user-friendliness using a combination of Stata, FAME, HTML, and Linux
Designed an automated data release alert program using Python
Led RA team to produce division’s first all R-chart briefing and assisted in beta-testing IF Functions package
Prepared and analyzed data to support a variety of policy and economic research projects

Awards

Special Achievement Award - Group Award

Federal Reserve Board of Governors Nov 2024

Group award for exceptional achievement and resourcefulness in establishing the Board’s AI Program. I created a network of organizational stakeholders, building ties with peer organizations, and responsibly enabling AI within the organization.

Special Achievement Award - Individual Award

Federal Reserve Board of Governors Nov 2021

Award for extraordinary initiative and innovation in advancing the Board’s data management and analytics capabilities. I worked across the Board and Federal Reserve System to promote innovative techniques and new technologies to change how analysts do their work. My efforts have made big-data analysis, machine learning, artificial intelligence, text analysis, and cloud computing more accessible to other staff, enabling these techniques to become integral parts of regular processes.