A globally competitive AI workforce hinges on the education, development, and sustainment of the best and brightest AI talent. This issue brief compares efforts to integrate AI education in China and the United States, and what advantages and disadvantages this entails. The authors consider key differences in system design and oversight, as well as strategic planning. They then explore implications for the U.S. national security community.

CSET Director Dewey Murdick and Director of Operations Tessa Baker spoke with Georgetown's The Hoya about CSET's new $42 million grant.

CSET's Director of Strategy Helen Toner sat down with National Defense to discuss AI failures from her and Zachary Arnold's CSET report "AI Accidents: An Emerging Threat."

A new CSET report "Headline or Trend Line? Evaluating Chinese-Russian Collaboration in AI" uses data-backed analysis to address the Sino-Russian partnership and its effect on U.S. strategic interests.

Looking at AI in the automotive industry, a CSET report "AI Accidents: An Emerging Threat" identifies AI failures and calls for a greater emphasis on research and development to improve safety.

Chinese and Russian government officials are keen to publicize their countries’ strategic partnership in emerging technologies, particularly artificial intelligence. This report evaluates the scope of cooperation between China and Russia as well as relative trends over time in two key metrics of AI development: research publications and investment. The findings expose gaps between aspirations and reality, bringing greater accuracy and nuance to current assessments of Sino-Russian tech cooperation.

Zachary Arnold and Helen Toner's CSET report "AI Accidents: An Emerging Threat" identifies requirements needed to achieve safer AI systems.

CSET Research Analyst Micah Musser discusses his research using GPT-3 to generate disinformation, and the difficulties for AI to identify AI-generated disinformation.

In Bank Automation New's latest podcast CSET's Micah Musser breaks down how AI and ML can heighten and hinder security, and how financial institutions can separate marketing fiction from cybersecurity reality.

In their report "AI Accidents," authors Helen Toner and Zachary Arnold make a noteworthy effort to name critical issues surrounding AI risk probability and impact.