Compete

America goes all-in on Big AI

DefenseScoop
| December 17, 2024

In his op-ed in DefenseScoop, Jack Corrigan discusses the U.S.'s first national security memorandum on artificial intelligence (AI), which emphasizes large "frontier" models from major tech firms as key to national security and technological leadership. He cautions, however, that this focus could stifle broader AI innovation and create reliance on costly, resource-intensive systems.

Acquiring AI Companies: Tracking U.S. AI Mergers and Acquisitions

Jack Corrigan, Ngor Luong, and Christian Schoeberl
| November 2024

Maintaining U.S. technological leadership in the years ahead will require policymakers to promote competition in the AI market and prevent industry leaders from wielding their power in harmful ways. This brief examines trends in U.S. mergers and acquisitions of artificial intelligence companies. The authors found that AI-related M&A deals have grown significantly over the last decade, with large U.S. tech companies being the most prolific acquirers of AI firms.

Fueling China’s Innovation: The Chinese Academy of Sciences and Its Role in the PRC’s S&T Ecosystem

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.

In his op-ed in TIME, Jack Corrigan discusses the landmark antitrust ruling that officially named Google a monopoly, marking the first significant antitrust defeat for a major internet platform in over two decades.

Enjoy our conversation with Dr. Jeffrey Ding outlining his fascinating new book, Technology and the Rise of Great Powers.

A Growing Yard: The Biden Administration’s China Export Controls Are Ensnaring CPUs

Jacob Feldgoise, Hanna Dohmen, and Brian Love
| August 22, 2024

Since 2022, U.S. export controls have restricted the highest-performing AI chips from being exported to China. The Biden administration likely did not intend to control CPUs (i.e., general-purpose processors) with these restrictions. However, CPUs are increasingly subject to export controls because chip designers are incorporating specialized elements for AI computation into CPUs. In this blog post, we discuss the implications of controlling AI-capable CPUs and make recommendations for the Bureau of Industry and Security (BIS) at the U.S. Department of Commerce.

Don’t Reinvent the Wheel to Govern AI

Council on Foreign Relations
| August 20, 2024

In their article featured in the Council of Foreign Relations, Jack Corrigan and Owen J. Daniels provide their expert analysis on the Chevron Doctrine Supreme Court decision and its implications for artificial intelligence (AI) governance.

A CSET Data Snapshot was cited in an article published by The Wall Street Journal. The piece discusses Huawei's advancements in developing a new AI chip, the Ascend 910C, which positions the company to challenge U.S. tech giant Nvidia in the Chinese market.

Governing AI with Existing Authorities

Jack Corrigan, Owen Daniels, Lauren Kahn, and Danny Hague
| July 2024

A core question in policy debates around artificial intelligence is whether federal agencies can use their existing authorities to govern AI or if the government needs new legal powers to manage the technology. The authors argue that relying on existing authorities is the most effective approach to promoting the safe development and deployment of AI systems, at least in the near term. This report outlines a process for identifying existing legal authorities that could apply to AI and highlights areas where additional legislative or regulatory action may be needed.

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.