Course prerequisites
This course assumes fluency with linear algebra, multivariable calculus, and basic programming at a level equivalent to MATH 54, MATH 53, and CS 61A. Since the class will quickly move through the material and involve significant ML paper reading, familiarity with machine learning at the level of CS 189 is strongly recommended. Prior familiarity with the field of AI Safety is not required.
Weekly reading reflections
These reflections are based on the assigned readings and must be submitted before each class. Students will answer specific questions about the material and share their own insights, including points of interest, connections to other ideas, and areas of agreement or disagreement. Completing these reflections demonstrates engagement with the material and helps prepare students for in-class discussions.
Projects
Students will complete 2–3 coding projects focused on replicating results from technical AI safety papers. They are also encouraged to creatively extend the ideas presented in the papers. Projects may be completed in groups, and students should prepare a presentation for the final project.
Interested in Intro to AI Safety DeCal?
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