Recommendations on Updating the National Artificial Intelligence Research and Development Strategic Plan
Stanford HAI scholars respond to a federal RFI on updating the National AI R&D Strategic Plan, offering eight strategies for driving AI development forward.
Executive Summary
In this response to a request for information by the White House Office of Science and Technology (OSTP) regarding the Update of the National Artificial Intelligence Research and Development Strategic Plan, Stanford HAI scholars present eight strategies for driving AI development forward:
Boost non-defense AI R&D budgets, particularly on AI-related infrastructure, to support long-term investments.
Increase support for interdisciplinary and multidisciplinary AI research on human-AI collaboration that expands beyond exclusively technical research.
Understand and Address the Ethical, Legal, and Societal Implications of AI.
Develop appropriate acquisition strategies and update existing procurement regulations to respond to AI procurement and acquisition challenges in the federal government.
Expand government data access to academic researchers to train AI models and develop frameworks for government agencies to evaluate such datasets and their applications in tandem.
Establish a mechanism to evaluate AI models within the exact context of their intended use to ensure safe deployment as well as designate NIST in collaboration with other federal agencies to benchmark AI models in institutional contexts.
Update immigration policies to attract talent in AI and other technical fields as well as develop federal programs to hire AI talent and re-skill civil servants with both technical capacity and institutional knowledge.
Strengthen partnerships with academic institutions and build a framework for a public-university-industry AI R&D ecosystem to drive AI development forward.
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