CSET's Margarita Konaev was featured in an article published by The Wall Street Journal that delves into the accelerating research efforts by the United States and China to integrate artificial intelligence (AI) into their respective militaries, as part of a global competition to leverage the advancements in AI technology.

In an op-ed featured in Barron's, CSET's Emily S. Weinstein discusses the recent proposed regulations by the Biden administration to restrict U.S. investments in critical technology sectors in China. The regulations target advancements in semiconductors, microelectronics, quantum technologies, and AI systems, with concerns about potential military applications benefiting adversaries like China.

In their op-ed featured in The Hill, CSET's Dewey Murdick and Jack Corrigan provide expert analysis on the rapid emergence of generative artificial intelligence tools like OpenAI's ChatGPT and Google's Bard. The piece delves into the growing concerns among leaders in government, industry, and academia regarding the control of the development and utilization of this emerging technology and provide solutions to address it.

In a recent Bloomberg article, CSET's Helen Toner provides her expert analysis on Beijing's implementation of fresh regulations governing artificial intelligence (AI) services.

CSET's Ngor Luong provided her expert analysis in an article published by Fox Business. The article delves into the recently proposed restrictions on U.S. investments in China's technology sector by the Biden administration.

As policymakers decide how best to regulate AI, they first need to grasp the different types of harm that various AI applications might cause at the individual, national, and even societal levels. To better understand AI harm, this blog post presents some key components and characteristics.

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).

Real-world harms caused by the use of AI technologies are widespread. Tracking and analyzing them improves our understanding of the variety of harms and the circumstances that lead to their occurrence once AI systems are deployed. This report presents a standardized conceptual framework for defining, tracking, classifying, and understanding harms caused by AI. It lays out the key elements required for the identification of AI harm, their basic relational structure, and definitions without imposing a single interpretation of AI harm. The brief concludes with an example of how to apply and customize the framework while keeping its modular structure.

Collaborations between researchers and policymakers are necessary for progress, but can be challenging in practice. This blog post reports on recent discussions by privacy experts on the obstacles they face when engaging in the policy space and advice on how to improve these barriers.

On July 21, the White House announced voluntary commitments from seven AI firms to ensure safe, secure, and transparent AI. CSET’s research provides important context to this discussion.