In response to the Office of Science and Technology Policy's request for input on an AI Action Plan, CSET provides key recommendations for advancing AI research, ensuring U.S. competitiveness, and maximizing benefits while mitigating risks. Our response highlights policies to strengthen the AI workforce, secure technology from illicit transfers, and foster an open and competitive AI ecosystem.

A CSET report was highlighted in a Business Insider article discussing Russia’s struggles in the global AI race, with its flagship model, GigaChat MAX, trailing behind American and Chinese counterparts. Experts cite a lack of innovation, a weak private sector, and the war in Ukraine as major setbacks.

As artificial intelligence permeates the economy, the demand for AI talent with all levels of educational attainment will expand in kind. Apprenticeships are an effective education and training pathway for other industries, but are they suitable for AI-related roles? This report analyzes trends in AI-related apprenticeships across the United States from 2013 through 2023. It explores the growth of these programs, completion rates, demographic and geographic information, and the organizations sponsoring these programs.

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.

The emergence of artificial intelligence as a general-purpose technology could profoundly transform work across industries, potentially affecting a variety of occupations. While previous technological shifts largely enhanced productivity and wages for white-collar workers but led to displacement pressures for blue-collar workers, AI may significantly disrupt both groups. This report examines the changing landscape of workforce development, highlighting the crucial role of community colleges, alternative career pathways, and AI-enabled training solutions in preparing workers for this transition.

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.

Automation bias is a critical issue for artificial intelligence deployment. It can cause otherwise knowledgeable users to make crucial and even obvious errors. Organizational, technical, and educational leaders can mitigate these biases through training, design, and processes. This paper explores automation bias and ways to mitigate it through three case studies: Tesla’s autopilot incidents, aviation incidents at Boeing and Airbus, and Army and Navy air defense incidents.

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 his op-ed featured in DefenseScoop, Jaret C. Riddick provides his expert analysis on the Great Power Competition.