JCC — pp. 1-21 2026-09-19 Original Redefining China’s Approach to AI Governance: Beyond Top-Down, Government-Led, and Command-and-Control
Xinhua Fu, Tao Huang
PA — 2026-09-11
Original A Public Values Framework for AI Governance: Evidence From US Federal AI Policymaking
Ogadinma Enwereazu, Kaylyn Jackson Schiff, Tyler Girard, Alexander Wilhelm, Daniel S. Schiff
PNAS 123/30 pp. e2509757122-e2509757122 2026-07-20 Original There is no free benchmark: An institutional view of legal AI benchmarking
Neel Guha, Andy K. Zhang, Christine Tsang, Christopher D. Manning, Julian Nyarko, Daniel E. Ho
PNAS 123/30 pp. e2509742123-e2509742123 2026-07-20 Original Legal infrastructure for transformative AI governance
Gillian K. Hadfield
Abstract
Most of our AI governance efforts focus on substance: What rules do we want in place? What limits or checks do we want to impose on AI development and deployment? But a key role for law is not only to establish substantive rules but also to establish legal and regulatory infrastructure to generate and implement rules. The transformative nature of AI calls especially for attention to building legal and regulatory frameworks. In this Perspective, I review three examples: the creation of registration regimes for frontier models; the creation of registration and identification regimes for autonomous agents; and the design of regulatory markets to facilitate a role for private companies to innovate and deliver AI regulatory services.
PA — 2026-03-11
Original Understanding Accountability in AI Use Within the Public Sector: Insights From State Governments in the United States
Tzuhao Chen, Mila Gasco‐Hernandez, J. Ramon Gil‐Garcia