Sam Bowman

Sam Bowman is an Associate Professor at New York University in the departments of Data Science, Linguistics, and Computer Science. He is currently on a long-term leave from NYU while working at Anthropic, focusing on technical AI safety. Bowman leads the ML² Group and CILVR Lab, and previously headed the Alignment Research Group (2022-2024). His research spans natural language processing, artificial neural networks, computational semantics, and large language model safety.

His work addresses critical AI safety challenges including model alignment, reward hacking, and ethical compliance. He advocates for rigorous evaluation frameworks and has developed benchmarks like SuperGLUE and BLiMP. Bowman's recent publications examine chain-of-thought reasoning, deceptive alignment, and behavioral vulnerabilities in frontier AI systems.

Contact: bowman@nyu.edu | @sleepinyourhat on X.