All Work Published on Regulation, Policy, Governance
Want To Understand The Current State Of AI? Check Out These Charts.
"If you’re following AI news, you’re probably getting whiplash. AI is a gold rush. AI is a bubble. AI is taking your job. AI can’t even read a clock. The 2026 AI Index from Stanford University’s Institute for Human-Centered Artificial Intelligence, AI’s annual report card, comes out today and cuts through some of that noise."
"If you’re following AI news, you’re probably getting whiplash. AI is a gold rush. AI is a bubble. AI is taking your job. AI can’t even read a clock. The 2026 AI Index from Stanford University’s Institute for Human-Centered Artificial Intelligence, AI’s annual report card, comes out today and cuts through some of that noise."
Assessing the Implementation of Federal AI Leadership and Compliance Mandates
This white paper assesses federal efforts to advance leadership on AI innovation and governance through recent executive actions and emphasizes the need for senior-level leadership to achieve a whole-of-government approach.
This white paper assesses federal efforts to advance leadership on AI innovation and governance through recent executive actions and emphasizes the need for senior-level leadership to achieve a whole-of-government approach.
The annual report reveals a field hitting breakthrough capabilities while raising urgent questions about environmental costs, transparency, and who benefits from the technology.
The annual report reveals a field hitting breakthrough capabilities while raising urgent questions about environmental costs, transparency, and who benefits from the technology.
Stanford scholars respond to a federal RFC on the U.S. AI Safety Institute’s draft guidelines for managing the misuse risk for dual-use foundation models.
Stanford scholars respond to a federal RFC on the U.S. AI Safety Institute’s draft guidelines for managing the misuse risk for dual-use foundation models.
Stop Telling AI Your Secrets - 5 Reasons Why, And What To Do If You Already Overshared
"The ultimate problem is that you just can't control where the information goes, and it could leak out in ways that you just don't anticipate," says HAI Privacy and Data Policy Fellow Jennifer King.
"The ultimate problem is that you just can't control where the information goes, and it could leak out in ways that you just don't anticipate," says HAI Privacy and Data Policy Fellow Jennifer King.
Stanford scholars respond to a federal RFC on dual use foundation models with widely available model weights, urging policymakers to consider their marginal risks.
Stanford scholars respond to a federal RFC on dual use foundation models with widely available model weights, urging policymakers to consider their marginal risks.
