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
Speaker
Melissa Koide, CEO and Director, FinRegLab
Welcome Remarks by Deputy Secretary Don Graves
Speaker
Don Graves, Deputy Secretary of Commerce, U.S. Department of Commerce
Fireside Chat
Speakers
Don Graves, Deputy Secretary of Commerce, U.S. Department of Commerce
Michael J. Hsu, Acting Comptroller of the Currency, Office of the Comptroller of the Currency (OCC)
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
Speaker
Laurie E. Locascio, Director, National Institute of Standards and Technology (NIST)
Session I: AI Risk Management Framework
Speakers
Michael Akinwumi, Chief Tech Equity Officer, National Fair Housing Alliance
Agus Sudjianto, Executive Vice President and Head of Model Risk, Wells Fargo
Himabindu Lakkaraju, Assistant Professor, Harvard Business School and Department of Computer Science
Moderator
Elham Tabassi, Chief of Staff, Information Technology Laboratory, National Institute of Standards and Technology (NIST)
Keynote by U.S. Senator Joni Ernst
Speaker
Joni Ernst, U.S. Senate, Iowa
Public Sector AI
Speaker
Daniel E. Ho, William Benjamin Scott and Luna M. Scott Professor of Law, Professor of Political Science, Stanford University; Senior Fellow, Stanford Institute for Economic Policy Research; Associate Director, Stanford Institute for Human-Centered Artificial Intelligence (HAI)
Insights from AI Use in Financial Services
Speaker
Melissa Koide, CEO and Director, FinRegLab
Session II: The Future of AI in Financial Services
Speakers
Nicol Turner Lee, Director, Center for Technology Innovation, The Brookings Institution
Manish Raghavan, Postdoctoral Fellow, Harvard Center for Research on Computation and Society (CRCS)
Ovetta Sampson, Vice President, Machine Learning Experience Design, Capital One
JoAnn Stonier, Executive Vice President, Chief Data Officer, Mastercard
Moderator
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
Speakers
Laura Blattner, Assistant Professor of Finance, Stanford Graduate School of Business
Brian Kreiswirth, Managing Director and the General Counsel of Responsible Banking and Consumer Data, JPMorgan Chase & Co.
Brad Blower, General Counsel, National Community Reinvestment Coalition (NCRC)
Moderator
Dominique Harrison, Ph.D., Director, Racial Equity Design and Data Initiative (REDDI) Venture Innovation | Citi Ventures
Session IV: AI in Healthcare: Risks of Race Detection in Medical Imaging
Speakers
Lee Anthony Celi, Principal Research Scientist, Massachusetts Institute of Technology; Clinical Research Director, Laboratory of Computational Physiology; Co-Director, MIT Sana
Taha Kass-Hout, Director, Machine Learning; Chief Medical Officer, Amazon Web Services (AWS)
David Larson, Professor of Radiology, Department of Radiology, Stanford University
Laleh Seyyed-Kalantari, Associate Scientist, Lunenfeld Tanenbaum Research Insitute, Sinai Health, Toronto, Canada
Moderator
Jennifer Roberts, Assistant Director for Health Technology, White House Office of Science and Technology Policy
Keynote by Condoleezza Rice
Speaker
Condoleezza Rice, Director, Hoover Institution; Advisory Council, Stanford Institute for Human-Centered Artificial Intelligence (HAI); 66th Secretary of State
Photo Cred: Jon Fleming