FinRegLab Events

Artificial Intelligence and the Economy: Charting a Path for Responsible and Inclusive AI

Virtual Conference April 27, 2022

The U.S. Department of Commerce and National Institute of Standards and Technology, FinRegLab, and the Stanford Institute for Human-Centered Artificial Intelligence (HAI), hosted a virtual conference, “Artificial Intelligence and the Economy: Charting a Path for Responsible and Inclusive AI,” on April 27, 2022.

This symposium brought together leaders from government, industry, civil society, and academia to explore potential opportunities and challenges posed by artificial intelligence and machine learning deployment across different economic sectors, with a particular focus on financial services and healthcare.

The event was designed to address how these technologies relate to ensuring inclusive economic growth, supporting diversity and financial inclusion, and mitigating risks such as bias and unfairness. It featured presenters and panelists on the cutting edge of researching fairness and explainability in AI, as well as those working to develop policies and frameworks to evaluate and assess the goals of improving the trustworthiness, inclusiveness, and equity of AI deployment.

Opening Remarks


Melissa Koide

CEO & Director

Welcome Remarks by Deputy Secretary Don Graves


Fireside Chat


Dr. Susan Athey

The Economics of Technology Professor, Stanford Graduate School of Business; Senior Fellow, Director, Golub Capital Social Impact Lab; Associate Director, Stanford Institute for Human-Centered Artificial Intelligence (HAI)

Remarks by Laurie E. Locascio


Session I: AI Risk Management Framework


Michael Akinwumi

National Fair Housing Alliance (NFHA)

Agus Sudjianto

Executive Vice President and Head of Model Risk

Himabindu Lakkaraju

Assistant Professor

Elham Tabassi

Chief of Staff, Information Technology Laboratory

Keynote by U.S. Senator Joni Ernst


Public Sector AI


Daniel E. Ho

William Benjamin Scott and Luna M. Scott Professor of Law, Professor of Political Science

Insights from AI Use in Financial Services


Melissa Koide

CEO & Director

Session II: The Future of AI in Financial Services


Ovetta Sampson

Vice President, Machine Learning Experience Design

Grovetta Gardineer

Senior Deputy Comptroller for Bank Supervision Policy
Office of the Comptroller of the Currency (OCC)

Session III: Consumer Credit: A Case Study in Model Transparency and Algorithmic Bias


Brian Kreiswirth

Managing Director and the General Counsel of Responsiblty Banking and Consumer Data

Brad Blower

General Counsel
National Community Reinvestment Coalition (NCRC)

Dominique Harrison

Ph.D., Director, Racial Equity Design and Data Initiative (REDDI) Venture Innovation

Session IV: AI in Healthcare: Risks of Race Detection in Medical Imaging


Lee Anthony Celi

Principal Research Scientist

Taha Kass-Hout

Director, Machine Learning; Chief Medical Officer

David Larson

Professor of Radiology, Department of Radiology

Laleh Seyyed-Kalantari

Associate Scientist

Jennifer Roberts

Assistant Director for Health Technology

Keynote by Condoleezza Rice


Condoleeza Rice

66th Secretary of State & Director

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About FinregLab

FinRegLab is an independent, nonprofit organization that conducts research and experiments with new technologies and data to drive the financial sector toward a responsible and inclusive marketplace. The organization also facilitates discourse across the financial ecosystem to inform public policy and market practices. To receive periodic updates on the latest research, subscribe to FRL’s newsletter and visit Follow FinRegLab on LinkedIn and Twitter (X). | 1701 K Street Northwest, Suite 1150, Washington, DC 20006