Program Overview
The Machine Learning Safety Scholars program is a paid, 9-week summer program designed to help undergraduate students gain skills in machine learning with the aim of using those skills for empirical AI safety research in the future. Apply for the program here by May 31st.
The course will have three main parts:
- Machine learning, with lectures and assignments from MIT
- Deep learning, with lectures and assignments from the University of Michigan, NYU, and Hugging Face
- ML safety, with lectures and assignments produced by Dan Hendrycks at UC Berkeley
The first two sections are based on public materials, and we plan to make the ML safety course publicly available soon as well. The purpose of this program... (read 734 more words →)