HAI Weekly Seminar with Daniel E. Ho, Jennifer King, Russell Wald, and Chris Wan

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.

Read the full white paper here