Ben Hayum
AI Policy Researcher, Technology and National Security Program
Research Areas
Ben Hayum is an AI policy researcher for the Technology and National Security Program at the Center for a New American Security (CNAS). He focuses on AI and national security. His work spans two areas: risks posed by AI systems, such as agent security, misuse, and loss of control; and U.S.-China AI competition, including adversarial distillation and risks from Chinese AI models.
Before CNAS, Hayum was a PhD student in computer science researching AI security and interpretability. He worked for Americans for Responsible Innovation as an AI policy intern, providing machine learning expertise to inform policy on risks from advanced AI. He founded the Wisconsin AI Safety Initiative, a student organization whose alumni have gone on to METR, MATS, the Cooperative AI Foundation, and Congress.
Hayum holds a master’s degree in computer science from the University of Wisconsin–Madison’s College of Computing and Artificial Intelligence and a bachelor’s degree in data science and neurobiology.
Recent Publications & News
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Technology & National Security
Trump’s AI Liability Push Opens Blame Game for Models Gone RogueBy Ben Hayum
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Technology & National Security
Trump's AI Plan: Make Developers Pay When Models MisbehaveBy Ben Hayum
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Technology & National Security
Anthropic Claims Chinese AI Firms Secretly Use Claude. Is It True?By Ben Hayum
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Technology & National Security
Why AI Experts Are ‘Freaked Out’ over Safety Fears Ahead of Xi-Trump SummitBy Ben Hayum
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Technology & National Security
Why Less Visibility Into How OpenAI’s New GPT-6 Astra ‘Thinks’ Is Sparking Safety ConcernsBy Ben Hayum
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