In a thought-provoking op-ed featured in Lawfare, CSET's Zachary Arnold and Micah Musser delve into the dynamic discourse surrounding the regulation of artificial intelligence (AI). Read More

Large language models (LLMs) could potentially be used by malicious actors to generate disinformation at scale. But how likely is this risk, and what types of economic incentives do propagandists actually face to turn to… Read More

CSET’s Micah Musser shared his insights in an op-ed published in The Diplomat. He discusses the misconception that there is an AI race between the United States and China, specifically focusing on the field of… Read More

In an op-ed published in The Diplomat, Micah Musser discusses the concerns raised by policymakers in Washington about the disruptive potential of artificial intelligence technologies. Read More

Progress in artificial intelligence (AI) depends on talented researchers, well-designed algorithms, quality datasets, and powerful hardware. The relative importance of these factors is often debated, with many recent “notable” models requiring massive expenditures of advanced… Read More

Artificial intelligence systems are rapidly being deployed in all sectors of the economy, yet significant research has demonstrated that these systems can be vulnerable to a wide array of attacks. How different are these problems… Read More

Machine learning advances have powered the development of new and more powerful generative language models. These systems are increasingly able to write text at near human levels. In a new report, authors at CSET, OpenAI,… Read More

In an opinion piece for Lawfare, Research Analyst Micah Musser discussed the new regulations that entered into effect in China requiring companies deploying recommendation algorithms to file details about those algorithms with the Cyberspace Administration… Read More

Between 2012 and 2018, the amount of computing power used by record-breaking artificial intelligence models doubled every 3.4 months. Even with money pouring into the AI field, this trendline is unsustainable. Because of cost, hardware… Read More

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… Read More

Growing popular and industry interest in high-performing natural language generation models has led to concerns that such models could be used to generate automated disinformation at scale. This report examines the capabilities of GPT-3--a cutting-edge… Read More

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. Read More

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… Read More