Welcome to the alpha release of TYPE III AUDIO.
Expect very rough edges and very broken stuff—and regular improvements. Please share your thoughts.
PeopleJacob SteinhardtInterviews & Talks
Jacob Steinhardt, UC Berkeley, on machine learning safety, alignment and measurement
18 June 2021 · Generally Intelligent
Jacob Steinhardt
Jacob Steinhardt is an Assistant Professor in the Department of Statistics at UC Berkeley.
Jacob Steinhardt (Google Scholar) (Website) is an assistant professor at UC Berkeley. His main research interest is in designing machine learning systems that are reliable and aligned with human values. Some of his specific research directions include robustness, rewards specification and reward hacking, as well as scalable alignment.
Highlights:
“Test accuracy is a very limited metric.”
“You might not be able to get lots of feedback on human values.”
“I’m interested in measuring the progress in AI capabilities.”
