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Topics in Foundations of ML: AI Alignment and Safety
COMPSCI 2881R

Course Information

Description

This will be a graduate level course on challenges in alignment and safety of artificial intelligence. We will consider both technical aspects as well as questions on societal and other impact on the field. This is a fast-moving area and it will be a fast-moving course. I will expect students to be be able to pick up technical knowledge on their own. In a sense, the programming language for this course will be English: students will be allowed and encouraged to use AI tools for all homework and assignments. On the other hand, this means that expectations will be raised: it may well be the case that I would expect you to do in a week assignments that in previous years would have taken a month.

Course Notes

This course was previously numbered CS 229BR. Enrollment priority is given to PhD students.

Class Notes

If you are interested in taking this course, please fill out the form https://forms.gle/Xd1HgTcZkmE95XaZ8 to make sure you get updates on homework zero and other course logistics.

School Faculty of Arts & Sciences
Credits 4
Cross Reg

Available for Harvard Cross Registration

Course Component Lecture
Grading Basis FAS Letter Graded
Exam/Final Deadline Dec. 10, 2025
General Education N/A
Quantitative Reasoning with Data N/A
Divisional Distribution Science & Engineering & Applied Science
Course Level Primarily for Graduate Students