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 discuss the ongoing challenge of China’s technology acquisition and the complexities of U.S.-China collaboration in artificial intelligence (AI).
William Hannas, Huey-Meei Chang, Maximilian Riesenhuber, and Daniel Chou
| January 2025
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.
Cole McFaul, Hanna Dohmen, Sam Bresnick, and Emily S. Weinstein
| October 2024
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.
The European Union's Artificial Intelligence Act has officially come into force today after more than five years of legislative processes and negotiations. While marking a significant milestone, it also initiates a prolonged phase of implementation, refinement, and enforcement. This blog post outlines key aspects of the regulation, such as rules for general-purpose AI and governance structures, and provides insights into its timeline and future expectations.
In their op-ed featured in Fortune, Dewey Murdick and Owen J. Daniels provide their expert analysis on the Chevron Doctrine Supreme Court decision and its implications for artificial intelligence (AI) governance.
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