​​This Classifying AI Systems Interactive presents several AI system classification frameworks developed to distill AI systems into concise, comparable and policy-relevant dimensions. It provides key takeaways and framework-specific results from CSET’s analysis of more than 1,800 system classifications done by survey respondents using the frameworks. You can explore the frameworks and example AI systems used in the survey, and even take the survey.

CSET's Emily Weinstein and Ainikki Riikonen of the Center for a New American Security submitted this comment to the Office of Science and Technology Policy in response to a request for recommendations on securing U.S. government research and development against foreign government interference and exploitation.

CSET submitted this comment to the Office of Science and Technology Policy and the National Science Foundation to support the work of the National Artificial Intelligence Research Resource (NAIRR) Task Force to develop an implementation roadmap that would provide AI researchers and students across scientific disciplines access to computational resources, high-quality data, educational tools, and user support.

CSET Senior Fellow Anna Puglisi testified before the Senate Select Committee on Intelligence on "Beijing's Long Arm: Threats to U.S. National Security." She offered recommendations to counter China's S&T collection efforts.

CSET Research Analyst Will Hunt testified before the Strategic Technologies and Advanced Research (STAR) Subcommittee on "Microelectronics: Levers for Promoting Security and Innovation." He offered recommendations to advance the U.S.' semiconductor industry.

China wants to be a “cyber powerhouse” (网络强国). At the heart of this mission is the sprawling 40 km2 campus of the National Cybersecurity Center. Formally called the National Cybersecurity Talent and Innovation Base (国家网络安全人才与创新基地), the NCC is being built in Wuhan. The campus, which China began constructing in 2017 and is still building, includes seven centers for research, talent cultivation, and entrepreneurship; two government-focused laboratories; and a National Cybersecurity School.

CSET’s Private-sector AI-Related Activity Tracker (PARAT) collects data related to companies’ AI research and development to inform analysis of the global AI sector. The global AI market is already expanding rapidly and is likely to continue growing in the coming years. Identifying “AI companies” helps illustrate the size and health of the AI industry in which they participate as well as the most sought-after skills and experience in the AI workforce.

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 AI system that writes text--to analyze its potential misuse for disinformation. A model like GPT-3 may be able to help disinformation actors substantially reduce the work necessary to write disinformation while expanding its reach and potentially also its effectiveness.

The advantages of nations depend in part on their access to new inventions—and modern applications of artificial intelligence can help accelerate the creation of new inventions in the years ahead. This data brief is a first step toward understanding how modern AI and machine learning have begun accelerating growth across a wide array of science and engineering disciplines in recent years.

The Defense Production Act can be an effective tool to bring U.S. industrial might to bear on broader national security challenges, including those in technology. If updated and used to its full effect, the DPA could be leveraged to encourage development and governance of artificial intelligence. And debate about the DPA’s use for AI purposes can serve to shape and condition expectations about the role the law’s authorities should or could play, as well as to identify essential legislative gaps.