It is common for observers to compare machine intelligence with individual human intelligence, but this tendency can narrow and distort understanding. Rather, this paper suggests that machines, bureaucracies and markets can usefully be regarded as a set of artificial intelligences that have been invented to complement the limited abilities of individual human minds to discern patterns in large amounts of data. This approach opens an array of possibilities for insight and future investigation.

Progress in artificial intelligence has led to growing concern about the capabilities of AI-powered surveillance systems. This data brief uses bibliometric analysis to chart recent trends in visual surveillance research — what share of overall computer vision research it comprises, which countries are leading the way, and how things have varied over time.

CSET's Helen Toner and Andrew Lohn spoke with IEEE Spectrum about the dangerous implications of AI-enabled systems.

CSET Research Fellow Margarita Konaev anticipates a shift in the U.S. military's modernization of major weapons systems and AI capabilities now that the U.S. is pivoting away from counter-insurgency and counter-terrorism operations in the Middle East.

Artificial intelligence offers enormous promise to advance progress and powerful capabilities to disrupt it. This policy brief is the second installment of a series that examines how advances in AI could be exploited to enhance operations that automate disinformation campaigns. Building on the RICHDATA framework, this report describes how AI can supercharge current techniques to increase the speed, scale, and personalization of disinformation campaigns.

Part 1 of CSET's "AI and the Future of Disinformation Campaigns" examines how artificial intelligence and machine learning can influence disinformation campaigns.

CSET's report "AI and the Future of Disinformation Campaigns" unpacks how AI and machine learning technologies can shape disinformation campaigns.

Artificial intelligence will play an increasingly important role in cyber defense, but vulnerabilities in AI systems call into question their reliability in the face of evolving offensive campaigns. Because securing AI systems can require trade-offs based on the types of threats, defenders are often caught in a constant balancing act. This report explores the challenges in AI security and their implications for deploying AI-enabled cyber defenses at scale.

Director of Data Science and Research Catherine Aiken outlines how she tested frameworks for her report "Classifying AI Systems" in partnership with OECD.AI

A CSET report found that China's People's Liberation Army spends at least $1.6 billion each year on AI-related systems and equipment.