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This Annual Report reflects the research, activities, and impact of Stanford HAI between September 2021 to August 2022


Engaging AI Leaders and Policymakers

Stanford HAI’s policy team studies AI governance and appropriate uses, with a commitment to bringing AI leaders and policymakers together to learn about and discuss strategies for guiding human-centered AI. Activities include education and training for policymakers, as well as policy initiatives, publications, and events.

Education and Training for Policymakers

Promote National AI Research Resource (NAIRR)

In an effort to better educate policymakers and combat false narratives on the NAIRR, the policy team partnered with organizations on two events, one with Georgetown CSET and another with the Center for Data Innovation and SeedAI.

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

In April 2022, HAI co-hosted a one-day symposium with the Department of Commerce, National Institute of Standards and Technology, and FinRegLab at the Commerce Department in Washington, D.C. The symposium focused on responsible AI integration in the economy, general risk, financial services, and healthcare.

HAI Congressional Staff Boot Camp

In August 2022, HAI welcomed a diverse cohort of 26 congressional staffers from both the House and Senate for a three-day educational event. Sessions covered what AI means for international security, the future of work, and healthcare. The event also included fireside chats with leading AI experts, networking dinners, and field trips to Stanford labs.

National AI Research Resource

Policy Initiatives

Multilateral AI Research Institute (MAIRI)

HAI published this white paper to map a blueprint for a research institute that would provide a way to accelerate AI research and development collaboration among like-minded countries. The authors make the case for how an institute like this could help to establish better AI research standards worldwide for the responsible and inclusive development of AI.

HAI faculty affiliates and directors met with members of the European Parliament at Stanford University
On May 25, HAI faculty affiliates and directors met with members of the European Parliament at Stanford University to discuss the Digital Revolution, privacy, surveillance, and other AI regulatory issues.

Emerging Technology Policy Writing

HAI worked together with the Digital Economy Lab and the Stanford Institute for Economic Policy Research (SIEPR) to seek submissions of policy briefs from Stanford graduate students. The competition aimed to cultivate succinct, effective, and evidence-based policy writing that can help policymakers map out a human-centric approach to responsible development and deployment of AI technologies.

AI Audit Challenge

In May 2022, HAI’s policy team coordinated with Marietje Schaake, Rob Reich, and Jack Clark to launch an algorithmic auditing competition. HAI invited participants to design and create applied tools to assess whether deployed AI systems exhibit bias or other harm. With a grant from the Rockefeller Foundation, the competition had a total of $71,000 to offer the winning submissions. The application process was still underway at the end of AY 2021-22 with awards planned to be announced in early 2023.

Policy Publications

HAI’s policy team translates cutting-edge, multidisciplinary AI research into digestible formats for policymakers. The team also produces original AI-related policy research to equip policymakers with tools to understand and govern this technology. During the last academic year, HAI published five policy briefs and five policy explainers.

Federal Requests for Information (RFIs) synthesize academic research and perspectives to provide the federal government with necessary tools and knowledge to develop AI-related governance initiatives. In response to the White House Office of Science and Technology Policy, HAI prepared three RFIs. And to assist the National Institute of Standards and Technology, HAI prepared recommendations on how standards can be applied to a more productive digital economy.

Building a National AI Research Resource report cover