CSET Senior Fellow Dr. Heather Frase discussed her research on effectively evaluating and assessing AI systems across a broad range of applications.

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 from more common cybersecurity vulnerabilities? What legal ambiguities do they create, and how can organizations ameliorate them? This report, produced in collaboration with the Program on Geopolitics, Technology, and Governance at the Stanford Cyber Policy Center, presents the recommendations of a July 2022 workshop of experts to help answer these questions.

CSET's Hanna Dohmen was quoted in an article published by University World News on competition between China and the United States in AI research.

Foreign Policy published an article about competition between the United States and China in the field of artificial intelligence, featuring insights from CSET's Emily S. Weinstein.

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.