About

Max Lamparth is a research fellow at the Hoover Institution’s Technology Policy Accelerator, where he focuses on artificial intelligence, and affiliated with the Stanford Intelligence Systems Laboratory and the Stanford Center for AI Safety at Stanford University.

With his research, Dr. Lamparth works towards making AI systems inherently more secure and safe, providing critical insights to inform and guide effective AI policies while shaping public discourse. He specializes in interpretability and robustness of AI systems, ethical decision-making of language models, and uncertainty quantification. His work aims to promote the safe and responsible use of AI in society, with a particular emphasis on language models, and has been recognized through publications in leading technical and sociotechnical conferences such as Neural Information Processing Systems; Conference on Language Modeling; Fairness, Accountability, and Transparency; and Artificial Intelligence, Ethics, and Society, as well as policy-oriented outlets like Foreign Affairs. Additionally, his research has garnered attention from international media, with coverage in the MIT Technology Review, The Washington Times, The Japan Times, LaPress, Axios, Deutschlandfunk, and New Scientist.

Prior to his current appointment, Lamparth was a postdoctoral fellow at the Stanford Center for AI Safety, the Center for International Security and Cooperation, and the Stanford Existential Risks Initiative at Stanford University advised by Professors Clark Barrett, Steve Luby, and Paul Edwards. Lamparth received his PhD in August 2023 from the School of Natural Sciences at the Technical University of Munich and holds a BSc and MSc in physics from the Ruprecht Karl University of Heidelberg.

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