Jacob Steinhardt

Assistant Professor, AI2050 Early Career Fellow

Year

2023
Program

AI2050
Institution

University of California, Berkeley
Field of Study

Artificial Intelligence
Location

USA

Jacob Steinhardt is an Assistant Professor in the department of Statistics at UC Berkeley. His research goal is to make the conceptual and empirical advances necessary to design human-aligned machine learning systems. He studies interpretability and explainability, truthfulness, reward hacking and unintended consequences, and forecasting future developments in ML. He previously worked for OpenAI and Open Philanthropy and was a coach for the USA Computing Olympiad.