NPR published an article featuring CSET's Josh Goldstein. Goldstein provided expert insight on the topic.

CSET’s Jaret C. Riddick and Cole McFaul shared their expert analysis in an article published by Issues in Science and Technology.

CSET'S Helen Toner was recently cited in a Vox piece discussing the popular narrative of an AI arms race between the US and China.

An article published in OODA Loop cited a report by CSET's Josh Goldstein, Micah Musser, and CSET alumna Katerina Sedova in collaboration with OpenAI and Stanford Internet Observatory. The report explores the potential misuse of language models for influence operations in the future, and provides a framework for assessing mitigation strategies.

University World News published an article featuring CSET's Hanna Dohmen. Dohmen discussed about China's development of AI writing tools similar to OpenAI's ChatGPT.

Militaries seek to harness artificial intelligence for decision advantage. Yet AI systems introduce a new source of uncertainty in the likelihood of technical failures. Such failures could interact with strategic and human factors in ways that lead to miscalculation and escalation in a crisis or conflict. Harnessing AI effectively requires managing these risk trade-offs by reducing the likelihood, and containing the consequences of, AI failures.

MeriTalk published an article featuring CSET's Diana Gehlhaus. Gehlhaus points out that artificial intelligence has a broad range of applications within various government missions.

CSET's Emily S. Weinstein and Ngor Luong were referenced in an article published in Roll Call. The article cites the findings of Weinstein and Luong's research in their U.S. Outbound Investment into Chinese AI Companies report. Additionally, Weinstein and Luong were quoted in an interview regarding the accuracy and comprehensibility of data regarding U.S. investors and China.

Despite being a small city-state, Singapore’s star continues to rise as an artificial intelligence hub presenting significant opportunities for international collaboration. Initiatives such as fast-tracking patent approval, incentivizing private investment, and addressing talent shortfalls are making the country a rapidly growing global AI hub. Such initiatives offer potential models for those seeking to leverage the technology and opportunities for collaboration in AI education and talent exchanges, research and development, and governance. The United States and Singapore share similar goals regarding the development and use of trusted and responsible AI and should continue to foster greater collaboration among public and private sector entities.

Artificial intelligence is so diverse in its range that no simple one-size-fits-all assessment approach can be adequately applied to it. AI systems have a wide variety of functionality, capabilities, and outputs. They are also created using different tools, data modalities, and resources, which adds to the diversity of their assessment. Thus, a collection of approaches and processes is needed to cover a wide range of AI products, tools, services, and resources.