Wuhan, China’s inland metropolis, is paving the way for a nationwide rollout of “embodied” artificial intelligence meant to fast-track scientific discovery, optimize production, streamline commerce, and facilitate state supervision of social activities. Grounded in real-world data, the AI grows smarter, offering a pathway to artificial “general” intelligence that will reinforce state ideology and boost economic goals. This report documents the genesis of Wuhan’s AGI initiative and its multifaceted deployment.

In response to the Office of Science and Technology Policy's request for input on an AI Action Plan, CSET provides key recommendations for advancing AI research, ensuring U.S. competitiveness, and maximizing benefits while mitigating risks. Our response highlights policies to strengthen the AI workforce, secure technology from illicit transfers, and foster an open and competitive AI ecosystem.

Mia Hoffmann and Owen J. Daniels shared their expert analysis in an op-ed published by Tech Policy Press. In their piece, they highlight the evolving role of the European Union in the global AI policy ecosystem and the potential consequences of its shifting stance on regulation.

In their op-ed in the Bulletin of the Atomic Scientists, Mia Hoffmann, Mina Narayanan, and Owen J. Daniels discuss the upcoming French Artificial Intelligence Action Summit in Paris, which aims to establish a shared and effective governance framework for AI.

In their op-ed in Newsweek, William Hannas and Huey-Meei Chang discussed the ongoing challenge of China’s technology acquisition and the complexities of U.S.-China collaboration in artificial intelligence (AI).

Large generative models are widely viewed as the most promising path to general (human-level) artificial intelligence and attract investment in the billions of dollars. The present enthusiasm notwithstanding, a chorus of ranking Chinese scientists regard this singular approach to AGI as ill-advised. This report documents these critiques in China’s research, public statements, and government planning, while pointing to additional, pragmatic reasons for China’s pursuit of a diversified research portfolio.

In a China Global podcast episode about the Chinese perspectives on the military use of AI, CSET's Sam Bresnick shares his expert insights.

On November 14, CSET held a discussion on global developments in AI governance over the past year.

The Chinese Academy of Sciences is among the most important S&T organizations in the world and plays a key role in advancing Beijing’s S&T objectives. This report provides an in-depth look into the organization and its various functions within China’s S&T ecosystem, including advancing S&T research, fostering the commercialization of critical and emerging technologies, and contributing to S&T policymaking.

This blog post analyzes five major Chinese AI governance proposals, focusing on the key actors specified in each proposal. We find that older proposals lack specificity when identifying AI governance actors. Recent proposals, on the other hand, assign roles and responsibilities to a defined set of actors. The findings from this blog post can help policymakers and analysts better understand China’s fast-evolving AI governance landscape.