Neel Guha

PhD, Computer Science, Stanford University
JD, Stanford Law School

nguha [AT] cs.stanford.edu

I am a fifth year JD-PhD student in Computer Science at Stanford University (advised by Chris Ré). I'm a part of the Hazy Research Lab, Stanford Center for Research on Foundation Models, and RegLab. I graduated with a MS in Machine Learning from Carnegie Mellon University ('19) and a BS (with Honors) in Computer Science from Stanford University ('18). I am grateful to be supported by the Stanford Interdisciplinary Graduate Fellowship (SIGF) and the HAI Graduate Fellowship.

My research lies at the intersection of artificial intelligence/machine learning (AI/ML) and law. My work explores four questions:

Recent News

January 2025 Spoke on a panel at the Access to Justice and AI: New Frontiers for Research, Policy, and Practice (with David Engstrom, Gillian Hadfield, Natalie Knowlton, and Zach Zarnow) about evaluation in the A2J context. December 2024 AI Regulation Has Its Own Alignment Problem officially out in the George Washington Law Review. November 2024 Diego Zambrano and I have a short piece out in the Wisconsin Law Review talking about a new empirical project that uses LLMs to build an annotated database of state statutes! October 2024 Michelle Mello and I appeared on the Stanford Legal Podcast (hosted by Professor Pam Karlan and Professor Rich Ford) to talk about our work on AI liability in healthcare. September 2024 Work on learning unsupervised routers for LLMs accepted to NeurIPS 2024. July 2024 Open Problems in Technical AI Governance out on ArXiv. May 2024 Excited to contribute a chapter on benchmarking language models for legal applications to The Oxford Handbook on the Foundations and Regulation of Generative AI (OUP, 2024). May 2024 Two papers accepted to ICML 2024: (1) Prospectors, and (2) Long-Context Retrievers. January 2024 Understanding Liability Risk from Using Health Care Artificial Intelligence Tools out in The New England Journal of Medicine (with Michelle Mello). January 2024 Private Enforcement in the States out in University of Pennsylvania Law Review (with Diego Zambrano, Austin Peters, and Jeffrey Xia).

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