CSET’s Steph Batalis shared her expert insight in an article published by TIME. The article examines how leading AI companies are increasingly restricting access to their most capable models, such as GPT-Rosalind and Claude Mythos, due to growing concerns around dual-use risks in areas like cybersecurity and biological research, and the broader question of who should govern access to these systems.

CSET’s Catherine Aiken shared her expert insight in an article published by Nature. The article explores an open-access dataset called Cosmos 1.0, published in Scientific Data, which uses a Wikipedia-based AI model to identify the "Momentum 100," a data-driven list of rapidly emerging technologies such as reinforcement learning, blockchain, and 3D printing.

Washington, D.C. (April 22, 2026) — This morning, Helen Toner, Interim Executive Director at Georgetown University’s Center for Security and Emerging Technology (CSET), testified before the U.S. Senate Committee on the Judiciary. The hearing, “Stealth Stealing: China’s Ongoing Theft of U.S. Innovation,” examined policy solutions to maintain U.S. technological leadership and strengthen U.S. intellectual property (IP) protections.

CSET’s Matthias Oschinski and Mina Narayanan shared their expert analysis in an op-ed published by Newsweek. The article challenges the common framing of innovation versus regulation in AI policy, arguing that the more important question is what innovation is ultimately for and who benefits from it.

CSET’s Lauren Kahn and Michael C. Horowitz of the University of Pennsylvania shared their expert analysis in an op-ed published by Asia Times. The article explores how Iran’s use of low-cost drones is reshaping modern warfare by combining scale and precision, a shift the authors describe as "precise mass."

CSET’s Emelia Probasco shared her expert insight in an article published by DefenseScoop. The article examines the Pentagon’s push to transition the Maven Smart System (MSS) into a formal program of record, expanding its role as an AI-enabled platform that integrates military data, accelerates targeting decisions, and supports operations across combatant commands.

CSET’s Emelia Probasco shared her expert insight in an article published by The New York Times. The article examines the accelerating global race to develop A.I.-powered autonomous weapons and how nations are integrating these systems into modern warfare.

CSET’s Jacob Feldgoise shared his expert analysis in an article published by Bloomberg. The article examines how staffing shortages, licensing bottlenecks, and shifting policy direction at the Commerce Department’s Bureau of Industry and Security could slow U.S. efforts to expand global AI chip exports.

🔔 The number of AI-related governance documents continues to grow rapidly, but what risks, mitigations, and other concepts do these documents actually cover?

MIT AI Risk Initiative researchers expanded their pipeline with CSET to map over 1,000 AI governance documents from the AGORA dataset to several extensible taxonomies. These taxonomies cover AI risks, actors, industry sectors, AI lifecycle stages, legislative status, and AI system technical scope, complementing AGORA’s thematic taxonomy of risk factors, harms, governance strategies, incentives for compliance, and application areas.

CSET’s Hanna Dohmen shared her insight in an article published by The Washington Post. The article examines new bipartisan legislation in the House Foreign Affairs Committee that would expand U.S. export controls on semiconductor manufacturing equipment and push allied countries to align more closely with Washington’s chip restrictions in the competition with China.