https://ryanorban.com/categories/ai-policy/Recent content in Ai-Policy on Ryan OrbanHugoen-usme@ryanorban.com (Ryan Orban)me@ryanorban.com (Ryan Orban)Ryan OrbanTue, 12 Apr 2022 00:00:00 +0000https://ryanorban.com/notes/national-ai-research-resource-blueprint/Tue, 12 Apr 2022 00:00:00 +0000me@ryanorban.com (Ryan Orban)https://ryanorban.com/notes/national-ai-research-resource-blueprint/<h3 id="summary" class="scroll-mt-8 group"> Summary <a href="#summary" class="no-underline hidden opacity-50 hover:opacity-100 !text-inherit group-hover:inline-block" aria-hidden="true" title="Link to this heading" tabindex="-1"> <svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" fill="none" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round" stroke-width="2" class="lucide lucide-link w-4 h-4 block" viewBox="0 0 24 24" > <path d="M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71" /> <path d="M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71" /> </svg> </a> </h3> <p>Daniel Ho, Jennifer King, Russell Wald, and Christopher Wan at Stanford HAI propose a National AI Research Resource (NAIRR) — a shared infrastructure of compute, data, and software tools for academic AI researchers who lack access to the GPU clusters and proprietary datasets available inside large tech companies. The white paper (October 2021) became one of the most influential policy documents shaping US AI research policy.</p>