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.

Mina Narayanan provided her expert insights in an article published by GZERO Media. The article discusses the evolving landscape of AI policy under the incoming administration and the key trends shaping AI regulation, national security, and U.S.-China competition in 2025.

In an article by Inside Higher Ed, CSET’s Jaret Riddick shared his expert insights on Howard University's anticipated attainment of Research-1 (R-1) status in 2025.

In his article featured in the Council of Foreign Relations, Matthias Oschinski shared his expert analysis on the importance of strengthening the United States' STEM talent pipeline.

Zachary Arnold provided his expert insights in an article published by Semafor that discusses a recent analysis by CSET's Emerging Technology Observatory, which highlights the top 30 AI leaders in the S&P 500, ranking companies based on AI patents, workforce size, and research output.

In their FedScoop op-ed, Jack Corrigan and Owen J. Daniels discuss the challenges of regulating artificial intelligence (AI) during an election season, when lawmakers are more focused on politics than policy.

In their Lawfare op-ed, Helen Toner and Zachary Arnold discuss the growing concerns and divisions within the AI community regarding the risks posed by artificial intelligence.

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.

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 report was highlighted in an article by DefenseOne. The article discusses new findings suggesting that the Pentagon may have discovered how to quickly and cost-effectively acquire technology, particularly in the realm of AI-driven capabilities.