Machine learning systems’ vulnerabilities are pervasive. Hackers and adversaries can easily exploit them. As such, managing the risks is too large a task for the technology community to handle alone. In this primer, Andrew Lohn writes that policymakers must understand the threats well enough to assess the dangers that the United States, its military and intelligence services, and its civilians face when they use machine learning.

Based on an in-depth analysis of artificial intelligence and machine learning systems, the authors consider the future of applying such systems to cyber attacks, and what strategies attackers are likely or less likely to use. As nuanced, complex, and overhyped as machine learning is, they argue, it remains too important to ignore.

As demand for cybersecurity experts in the United States has grown faster than the supply of qualified workers, some organizations have turned to artificial intelligence to bolster their overwhelmed cyber teams. Organizations may opt for distinct teams that specialize exclusively in AI or cybersecurity, but there is a benefit to having employees with overlapping experience in both domains. This data brief analyzes hiring demand for individuals with a combination of AI and cybersecurity skills.

In an article about U.S.-China AI competition, EnterpriseAI quoted CSET Founding Director Jason Matheny.

Axios Future cited CSET's three-part series, "U.S. Military Investments in Autonomy and AI: Costs, Benefits, and Strategic Effects"

Axios Future covered CSET's Issue Brief, "'Cool Projects' or 'Expanding the Efficiency of the Murderous American War Machine?': AI Professionals' Views on Working With the Department of Defense."

In an article about NATO's AI plans, EnterpriseAI recapped CSET Founding Director Jason Matheny's comments on the NSCAI podcast.

CSET's Husanjot Chahal spoke to National Defense Magazine for an article about China's artificial intelligence ambitions. Read an excerpt below.

Psychology Today published an article on Microsoft's new Lobe application. The article featured original research from several CSET experts, including Research Fellow Zachary Arnold, Data Analyst Ilya Rahkovsky and Research Analyst Tina Huang.

National security leaders view AI as a priority technology for defending the United States. This two-part analysis is intended to help policymakers better understand the scope and implications of U.S. military investment in autonomy and AI. It focuses on the range of autonomous and AI-enabled technologies the Pentagon is developing, the military capabilities these applications promise to deliver, and the impact that such advances could have on key strategic issues.