CSET’s Kathleen Curlee and former U.S. Air Force pilot Brian Golden shared their expert analysis in an op-ed published by Newsweek. The article discusses the growing importance of space infrastructure to modern life and argues that increased international coordination is needed to ensure the security and stability of the space domain.

While demonstrating technical proficiency, challenges and competitions can reveal China’s People's Liberation Army’s (PLA) key priorities, bottlenecks, and institutional dynamics within its defense innovation system, which would otherwise be difficult to observe. This blog summarizes public PLA announcements of challenges and competitions from January 2023 to December 2024 to understand the signals the PLA may be sending about technical priorities.

CSET’s Matthias Oschinski and Mina Narayanan shared their expert analysis in an op-ed published by Newsweek. The article challenges the common framing of innovation versus regulation in AI policy, arguing that the more important question is what innovation is ultimately for and who benefits from it.

CSET researchers share their early analysis of the White House's AI Policy Framework and what the prospects are for near-term legislative action on AI.

The competition between the United States and China regarding artificial intelligence (AI) is entering a new phase and is increasingly focused on influencing the global AI ecosystem. Although national security is an important consideration in the U.S.-China AI rivalry, it represents only one dimension of a broader and nuanced competition.

CSET’s Vikram Venkatram, Mina Narayanan, and Jessica Ji shared their expert analysis in an op-ed published by The National Interest. The article analyzes the Trump administration’s new AI executive order and its attempt to limit state-level AI regulation, examining the legal, political, and governance challenges this approach creates.

CSET’s Helen Toner shared her expert perspective in an article published by TIME. The article examines common misconceptions about artificial intelligence in 2025, including claims that AI progress is stalling, that self-driving cars are inherently more dangerous than human drivers, and that AI systems cannot produce genuinely new knowledge.

This report presents an analytic approach to help U.S. policymakers deconstruct artificial intelligence governance proposals by identifying their underlying assumptions, which are the foundational elements that facilitate the success of a proposal. By applying the approach to five U.S.-based AI governance proposals from industry, academia, and civil society, as well as state and federal government, this report demonstrates how identifying assumptions can help policymakers make informed, flexible decisions about AI under uncertainty.

This blog examines 18 AI-related laws that California enacted in 2024, 8 of which are explored in more detail in an accompanying CSET Emerging Technology Observatory (ETO) blog. This blog also chronicles California’s history of regulating AI and other emerging technologies and highlights several AI bills that have moved through the California legislature in 2025.

As artificial intelligence systems are deployed and affect more aspects of daily life, effective risk mitigation becomes imperative to prevent harm. This report analyzes AI incidents to improve our understanding of how risks from AI materialize in practice. By identifying six mechanisms of harm, it sheds light on the different pathways to harm, and on the variety of mitigation strategies needed to address them.