AI Safety Fundamentals

The policy track of AI Safety Fundamentals is a seven-week reading group on the foundational governance and policy challenges posed by advanced AI systems. Topics discussed include the proliferation of dangerous AI models, AI-induced explosive economic growth, and methods for predicting when transformative AI will be developed.

Participants meet weekly in small sections facilitated by a TA that is a graduate student or an upperclassman with relevant experience. Dinner is provided, and no work is assigned outside of weekly meetings. Our curriculum is based on a course developed by experts on AI policy.

Apply here by Wednesday, February 14th, 11:59pm EST.

For those interested in the technical aspects of AI safety, we recommend applying to the machine learning track of AI Safety Fundamentals. You can participate in both tracks simultaneously.