Jacob Steinhardt

• 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.