Course Information


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Overview

We will study the foundations of trustworthy AI, including privacy, robustness, generalization, uncertainty quantification, alignment, copyright protection, and incentives, with the specific mix of topics shaped by students' interests. For each topic we will see a mix of more classical theoretical work and more recent research trying to apply these ideas to practice. The primarily deliverable will be a final course project and presentation.

Instructor

Portrait of Jonathan Ullman

Jonathan Ullman

Office: 216 Mass Ave · #241
Email: j.ullman@northeastern.edu
Office Hours: TBD