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 his Tech Policy Press op-ed, Josh A. Goldstein discusses Meta's quarterly threat report, which highlights the discovery of five networks of fake accounts from Moldova, Iran, Lebanon, and two from India attempting to manipulate public debate.

Mia Hoffmann provided her expert insights in an article published by TIME. The article discusses concerns about artificial intelligence (AI) affecting the 2024 U.S. elections through misinformation and deepfakes.

In their op-ed in Foreign Policy, Josh A. Goldstein and Renée DiResta discuss recent efforts by the U.S. government to disrupt Russian influence operations, highlighting how Russia uses fake domains, media outlets, and social media influencers to manipulate global public conversations.

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.

Ngor Luong and Zachary Arnold provided their expert insights in an article published by Nature that discusses new data from PARAT, the Private-sector AI-Related Activity Tracker.