CSET (Center for Security and Emerging Technology)
CSET (Center for Security and Emerging Technology) is a Georgetown University policy research center focused on the national security implications of AI, including US-China competition, chip supply chains, and AI talent flows.
A CSET op-ed highlights Taiwan's challenges in adopting artificial intelligence for military applications, despite its advanced semiconductor industry. The analysis notes that this gap could affect Taiwan's ability to deter Chinese aggression and complicate future defense cooperation with partners.
Why it matters: Bridging the gap between technological capability and military AI readiness is crucial for Taiwan's security and regional stability.
Policy & Safety→Official→CSET (Center for Security and Emerging Technology)
CSET Senior Fellow Emelia Probasco delivered remarks at the Global Nobel Laureates Assembly on Artificial Intelligence and Nuclear War, held at Borgo Laudato Si’, Vatican. The assembly convened experts to discuss the intersection of artificial intelligence and nuclear conflict.
Why it matters: This event highlights growing international concern about the risks of AI in nuclear command and control systems.
Policy & Safety→Official→CSET (Center for Security and Emerging Technology)
CSET examines the causes behind AI system failures, highlighting that as AI capabilities grow, their errors can seem more perplexing. The blog post discusses factors contributing to these failures.
Why it matters: Understanding the reasons for AI misbehavior is important for enhancing system safety and reliability.
People & Institutions→Official→CSET (Center for Security and Emerging Technology)
CSET Executive Director Helen Toner spoke about the global AI competition at the Aspen Ideas Festival. Her discussion focused on the ongoing AI race between the U.S. and China.
Why it matters: This underscores the importance of high-level discussions on international AI competition, particularly between the U.S. and China.
Companies & Funding→Official→CSET (Center for Security and Emerging Technology)
Companies worldwide are increasingly adopting Chinese AI models, attracted by their lower costs, improving capabilities, and the flexibility of open-weight systems. CSET’s Sam Bresnick provided expert insight on this trend in a Financial Times article.
Why it matters: This shift could reshape the global AI landscape by challenging the dominance of Western AI providers and influencing cost dynamics and accessibility.
Policy & Safety→Official→CSET (Center for Security and Emerging Technology)
A new crowdsourced platform called FLARE-AI has launched to centralize the reporting of harmful AI behavior and model flaws. The platform is designed to improve transparency and accountability in AI systems, with expert insight provided by CSET's Jessica Ji in a WIRED article.
Why it matters: FLARE-AI could increase accountability and safety in AI development by providing a centralized system for reporting AI harms.
Policy & Safety→Official→CSET (Center for Security and Emerging Technology)
CSET's Mina Narayanan discussed the lack of transparency in how the U.S. government evaluates and approves the public release of advanced AI models, such as OpenAI's Sol and Anthropic's Fable. The article highlights ongoing concerns about the opacity of these safety assessment processes.
Why it matters: Limited transparency in government safety assessments of advanced AI models raises important questions about accountability and public trust.
Policy & Safety→Official→CSET (Center for Security and Emerging Technology)
There are increasing concerns in Washington about Chinese AI companies using 'distillation' techniques to train their models on outputs from leading US AI systems. This has sparked debate over issues of intellectual property, competition, and national security. CSET's Colin Shea-Blymyer contributed expert insight to a Bloomberg article covering this topic.
Why it matters: The issue underscores rising US-China tensions in AI and highlights the challenges of protecting intellectual property and national security in the global AI landscape.