HAI Weekly Seminar: A Blueprint for a National Research Cloud

HAI Weekly Seminar

Title: A Blueprint for a National Research Cloud
Date: October 6
Time: 10:00am - 11:00am
RSVP Here: https://stanford.zoom.us/webinar/register/WN_p4XmigVOSGyqoS7gShLdLQ

Abstract: 
The productive interplay between the federal government, research universities, and private enterprise has given rise to an American innovation engine that is the envy of the world. But with respect to artificial intelligence (AI), there are challenges to this innovation ecosystem. AI research is dependent on intensive compute power and large-scale datasets, which are increasingly out of reach for academic and noncommercial researchers. Heeding a call by Stanford’s Institute for Human-Centered Artificial Intelligence (HAI), Congress enacted the National AI Research Resource Task Force Act in January 2020, to recommend a “National Research Cloud” for greater access to high-end computational resources and large-scale government-held datasets for academic researchers.

In this seminar, the authors of HAI’s recent report “Building a National AI Research Resource: A Blueprint for the National Research Cloud” will dive into the complexities of designing, implementing, and maintaining a NRC, from the compute resources needed to the complexity of sharing government data.

Speakers: 
Daniel E. Ho, J.D., Ph.D., is the William Benjamin Scott and Luna M. Scott Professor of Law, Professor of Political Science, and Senior Fellow at the Stanford Institute for Economic Policy Research at Stanford University. He directs the Regulation, Evaluation, and Governance Lab (RegLab) at Stanford, and is a Faculty Fellow at the Center for Advanced Study in the Behavioral Sciences and Associate Director of the Stanford Institute for Human-Centered Artificial Intelligence (HAI). He received his J.D. from Yale Law School and Ph.D. from Harvard University and clerked for Judge Stephen F. Williams on the U.S. Court of Appeals for the District of Columbia Circuit. 

Jennifer King, Ph.D., is the Privacy and Data Policy Fellow at the Stanford University Institute for Human-Centered Artificial Intelligence (HAI). Dr. King completed her doctorate in Information Management and Systems (information science) at the University of California, Berkeley School of Information. Prior to joining HAI, Dr. King was the Director of Consumer Privacy at the Center for Internet and Society at Stanford Law school from 2018 to 2020. 

Russell C. Wald is the Director of Policy for the Stanford Institute for Human-Centered Artificial Intelligence (HAI), leading the team that advances HAI’s engagement with governments and civil society organizations. Since 2013, Wald has held various government affair roles representing Stanford University. He is a Term Member with the Council on Foreign Relations, Visiting Fellow with the National Security Institute at George Mason University, and a Partner with the Truman National Security Project. Wald is a graduate of UCLA.

Christopher Wan, JD/MBA candidate at Stanford University and was Teaching Assistant for the Stanford Policy Practicum: Creating a National Research Cloud. He also serves as a Research Assistant for the Stanford Institute for Human-Centered Artificial Intelligence (HAI). He received his B.S. in Computer Science from Yale University and worked as a software engineer at Facebook and as a venture investor at In-Q-Tel and Bessemer Venture Partners.

Date: 
Wednesday, October 6, 2021 - 10:00am to 11:00am