Harvard CS 2881R
Everyone who wants to be considered for the course must fill out the Fall 2026 course registration form.
In-person attendance will be mandatory for students enrolled in the course.
Read Homework Zero HW0 is due August 5, 2026, at 11:59 p.m. Eastern Time.
Submitting Homework Zero is a necessary but not sufficient condition for admission to the course. Completing the assignment does not guarantee admission.
To get a sense of the issues we will cover, please read It’s 2030 and we fucked up. How did it happen? and All Watched Over.
Fall 2026, Thursdays 3:45pm–6:30pm Eastern Time (first lecture September 3)
Instructor: Boaz Barak
Teaching Fellows: Natalia Siwek, Terry Zhou, and Michael Shoemate
Course email: cs2881@boazbarak.org
Course Description: This is a graduate-level course on challenges in the alignment and safety of artificial intelligence. We will consider technical questions as well as societal and other impacts of the field.
Prerequisites: We require mathematical maturity and proficiency with proofs, probability, and information theory, along with the foundations of machine learning at the level of an undergraduate course such as Harvard CS 181 or MIT 6.036. On the applied side, students should be comfortable programming in Python and training a basic neural network.
Lecture topics and materials will be added as they are confirmed.
| Previous versions: Fall 2025 AI Safety | Spring 2023 ML Theory Seminar | Spring 2021 ML Theory Seminar |