All Work Published on Government, Public Administration
This White Paper assesses the progress of three pillars of U.S. leadership in AI innovation and trustworthy AI that carry the force of law.
This White Paper assesses the progress of three pillars of U.S. leadership in AI innovation and trustworthy AI that carry the force of law.
This bipartisan effort promises transformative benefits for AI research—but only if Congress acts now.
This bipartisan effort promises transformative benefits for AI research—but only if Congress acts now.
Tech Ethics & Policy: Stanford HAI’s AI Fellowship Program Connects Students with Roles in Public Service
Three students share their experiences working at the forefront of technology regulation and policy in Washington, D.C.
Three students share their experiences working at the forefront of technology regulation and policy in Washington, D.C.
On December 27, 2021, President Biden signed the National Defense Authorization Act (NDAA) for Fiscal Year 2022 into law. The NDAA is an annual bill that Congress passes specifying the budget, expenditures, and policies of the U.S. Department of Defense (DOD). Similar to previous NDAAs, the 2022 version contains a number of provisions directly relevant to artificial intelligence (AI). We identified and described the provisions related to AI and other activities or technologies that could impact U.S. advancement of AI in this 2,165-page bill.
On December 27, 2021, President Biden signed the National Defense Authorization Act (NDAA) for Fiscal Year 2022 into law. The NDAA is an annual bill that Congress passes specifying the budget, expenditures, and policies of the U.S. Department of Defense (DOD). Similar to previous NDAAs, the 2022 version contains a number of provisions directly relevant to artificial intelligence (AI). We identified and described the provisions related to AI and other activities or technologies that could impact U.S. advancement of AI in this 2,165-page bill.
Stanford's RegLab, directed by HAI Senior Fellow Daniel E. Ho, developed an AI model that helped Santa Clara accelerate the process of flagging and mapping restrictive covenants.
Stanford's RegLab, directed by HAI Senior Fellow Daniel E. Ho, developed an AI model that helped Santa Clara accelerate the process of flagging and mapping restrictive covenants.