Jacob Steinhardt, PhD

2012 Hertz Fellow
Visit website | Find me on LinkedIn

Jacob Steinhardt is an assistant professor of statistics at the University of California, Berkeley.

His main research goal is to make the conceptual advances necessary for machine learning systems to be reliable and aligned with human values. This includes topics such as robustness and security, reward specification and learning human values, and macroeconomic equilibria of ML systems. Recently he has also studied the science of deep learning. In addition to studying societal aspects of machine learning from a technical perspective, Jacob has collaborated with policy researchers on the use and misuse of machine learning, and is a technical advisor to the Open Philanthropy Project.

Graduate Studies

Stanford University
Artificial Intelligence
Learning from Untrusted Data

Undergraduate Studies

Massachusetts Institute of Technology

Related News

Dec 17, 2022
Hertz Fellows Hannah Lawrence and Katherine Van Kirk teamed up to present the “Building Bridges Between AI Research and Policy” session at the 2022 Summer Workshop, which was attended by 150 Hertz community members July 14–17 in Boston.
Aug 10, 2020
During the Hertz Foundation’s 2020 Summer Workshop, Hertz Fellows came together to shed light on the effects of COVID-19 on the nation's healthcare system and discuss new solutions that could offer up some relief amidst the throes of the global pandemic.