AI technologies will likely alter great power competitions in foundational ways, changing both how nations create power and their motives for wielding it against one another. This paper is a first step toward thinking more expansively about AI & national power and seeking pragmatic insights for long-term U.S. competition with authoritarian governments.

As the use of AI technology becomes more common, more problems arise prompting the need for policy and government responses, according to CSET's Helen Toner.

As modern machine learning systems become more widely used, the potential costs of malfunctions grow. This policy brief describes how trends we already see today—both in newly deployed artificial intelligence systems and in older technologies—show how damaging the AI accidents of the future could be. It describes a wide range of hypothetical but realistic scenarios to illustrate the risks of AI accidents and offers concrete policy suggestions to reduce these risks.

Andrew Lohn's latest CSET brief emphasizes the difficulties in detecting machine learning attacks as the Department of Defense grapples with ensuring AI safety standards are met.

CSET Research Analyst Husanjot Chahal sheds light on India's growing AI capabilities and how it can help grow the U.S.' AI initiatives in the India-U.S. relationship.

Cybersecurity operators have increasingly relied on machine learning to address a rising number of threats. But will machine learning give them a decisive advantage or just help them keep pace with attackers? This report explores the history of machine learning in cybersecurity and the potential it has for transforming cyber defense in the near future.

CSET's Director of Strategy Helen Toner discussed with Wired CSET's collaboration with Partnership on AI to create the AI Incident Database.

Research by CSET's Emily Weinstein discusses China's use of AI surveillance to monitor COVID-19 patients.

CSET Senior Fellow and co-author of "Truth, Lies, and Automation" Andrew Lohn dissects how CSET used GPT-3 to generate false information.

Andrew Lohn discusses the different ways CSET used GPT-3 to automate misinformation.