CSET’s Kathleen Curlee shared her expert analysis in an article published by Business Insider. The article examines China’s rapid growth in space-based military capabilities and the growing competition with the United States in orbit. It highlights how these advances could affect a potential conflict over Taiwan, where China could target U.S. satellites that provide critical functions, including surveillance, communications, navigation, and coordination. Read More

Red-teaming is a popular evaluation methodology for AI systems, but it is still severely lacking in theoretical grounding and technical best practices. This blog introduces the concept of threat modeling for AI red-teaming and explores the ways that software tools can support or hinder red teams. To do effective evaluations, red-team designers should ensure their tools fit with their threat model and their testers. Read More

CSET’s Ali Crawford shared her expert perspective in an op-ed published by The National Interest. In her piece, she explores how science fiction, from Black Mirror and Her to Cyberpunk 2077, reveals that the true danger of artificial intelligence is not killer robots but the corporate systems quietly reshaping human behavior and autonomy. Read More

CSET’s Jessica Ji shared her expert analysis in an article published by Fortune. The article discusses the broader trends in AI companionship and adult-oriented content, the growing demand for emotionally engaging interactions with AI, and the challenges companies face in balancing user freedom with safety and age verification. Read More

China and the U.S. are in a close race for AI supremacy. Helen Toner, CSET executive director, explains the different strategies, with China focusing on open-source development and the U.S. relying on big tech dominance, and what “winning” in AI actually means. Read More

🔔 The number of AI-related governance documents is rapidly proliferating, but what risks, mitigations, and other concepts do these documents actually cover? MIT AI Risk Initiative researchers Simon Mylius, Peter Slattery, Yan Zhu, Alexander Saeri, Jess Graham, Michael Noetel, and Neil Thompson teamed up with CSET’s Mina Narayanan and Adrian Thinnyun to pilot an approach to map over 950 AI governance documents to several extensible taxonomies. These taxonomies cover AI risks and actors, industry sectors targeted, and other AI-related concepts, complementing AGORA’s thematic taxonomy of risk factors, harms, governance strategies, incentives for compliance, and application areas. Read More

CSET’s Hanna Dohmen shared her expert insights in an article published by Bloomberg. The article discusses China’s rapidly evolving AI industry, where fierce domestic competition, described as "involution," is driving innovation but straining profitability among leading startups. Read More

The Center for Security and Emerging Technology at Georgetown University is thrilled to announce the Founding Members of the CSET Advisory Board: Lauren Bedula, Michael Brown, The Honorable Alan Estevez, Michael J. Howard, Joel Meyer, and The Honorable Dr. Sarah Sewall. "Each of our Advisory Board members has made significant contributions to U.S. national security and competitiveness. We will benefit immensely from their experience, as well as their willingness to work across aisles and teams in both the public and private sector to execute good emerging tech policy,” said Helen Toner, Executive Director of CSET. Read More

Sam Bresnick and Cole McFaul shared their expert analysis in an op-ed published by Foreign Policy. In their piece, they examine how China is rapidly integrating civilian technological innovation into its military capabilities through a strategy known as military-civil fusion, aiming to outpace the United States in areas like artificial intelligence and autonomous systems. Read More

CSET’s Helen Toner shared her expert perspective in an article published by NBC News. The article examines Alibaba’s public embrace of artificial general intelligence (AGI) and artificial superintelligence (ASI), challenging the common perception that China focuses only on practical AI applications while the U.S. pursues frontier AI research. Read More