Axios Future highlighted a series of one-pagers issued by CSET providing AI policy recommendations for the next presidential administration to consider and implement. The full piece from Axios can be found below.

Establishing a new open-source National Science and Technology Analysis Center

Establishing a new public-private institution to improve American research security

New Acting Under Secretary of Defense for Research and Engineering Michael Kratsios spoke with CSET Founding Director Jason Matheny and delivered formal remarks in his first public appearance in the role. The pre-recorded discussion and remarks addressed the challenges and opportunities inherent in defense innovation.

The rise of deepfakes could enhance the effectiveness of disinformation efforts by states, political parties and adversarial actors. How rapidly is this technology advancing, and who in reality might adopt it for malicious ends? This report offers a comprehensive deepfake threat assessment grounded in the latest machine learning research on generative models.

Plus, cloud computing bill introduced, semiconductor industry association lobbies for $37B, and bill to advance AI research introduced

The task of artificial intelligence policymaking is complex and challenging, made all the more difficult by such a rapidly evolving technology. In order to address the security and economic implications of AI, policymakers must be able to viably define, categorize and assess AI research and technology. In this issue brief, CSET puts forward a functional definition of AI, based on three core principles, that significantly outperforms methods developed over the last decade.

CSET's Helen Toner highlights OpenAI's delayed release of GPT-2 and the increased attention it brought to publication norms in the AI research community in 2019. This piece was featured in In the Shanghai Institute for Science of Science's "AI Governance in 2019" report.

Dr. Dewey Murdick served as the Executive Director of Georgetown’s Center for Security and Emerging Technologies from 2021 to 2025.

Talent is core to U.S. competitiveness in artificial intelligence, and international graduate students are a large source of AI talent for the United States. Graduate student retention has been a historical U.S. strength, but that strength is endangered by recent trends, finds a new CSET report.