Building a National AI Research Resource
In 2019, Stanford HAI co-directors Fei-Fei Li and John Etchemendy were one of the first to issue a call for the U.S. government to create a National AI Research Resource
By democratizing access and equity for all colleges and universities, a National AI Research Resource has the potential not only to unleash a string of advancements in AI, but to help ensure the U.S. maintains its leadership and competitiveness on the global stage.
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Artificial intelligence requires vast amounts of computing power, data, and expertise to train and deploy the massive machine learning models behind the most advanced research. But access is increasingly out of reach for most colleges and universities. A National AI Research Resource (NAIRR) would provide academic and non-profit researchers with the compute power and government datasets needed for education and research. By democratizing access and equity for all colleges and universities, a National AI Research Resource has the potential not only to unleash a string of advancements in AI, but to help ensure the U.S. maintains its leadership and competitiveness on the global stage.
In 2019, Stanford HAI co-directors Fei-Fei Li and John Etchemendy were one of the first to issue a call for the U.S. government to create a National AI Research Resource
Stanford HAI submitted this response in July 2022 to support the work of the National Science Foundation and the White House Office of Science and Technology Policy to implement the initial findings and recommendations of the National Artificial Intelligence Research Resource (NAIRR) Task Force.
The roadmap includes $2.6 billion in investment over six years and sets the stage for ethical review and privacy protections.
Scholars and students across disciplines outline how to build a resource to level computing and data barriers for academic AI research.
Congress has introduced a bill that would create resources for academics in AI. This bill is necessary for America’s AI future.
The co-authors from Stanford HAI and the Stanford Law School provide their perspective drawn from their white paper Building a National AI Research Resource: A Blueprint for the National Research Cloud.
A newly released white paper from Stanford HAI and the Stanford Law School provides a roadmap for the creation of a National Research Cloud (NRC) that would fuel artificial intelligence-based research.
HAI Co-Director Fei-Fei Li explains why the US has a responsibility to usher human-centered AI, and how university research is vital to that goal.
HAI Co-Director John Etchemendy explains the need for a National Research Cloud for advanced AI research
The bill calls for a task force to begin laying the groundwork for a National Research Cloud
This brief assesses the benefits of and provides policy recommendations for adverse event reporting systems for AI that report failures and harms post deployment.
