An 8-week introduction to AI safety, on a technical or a policy track.
Guest talks
Researchers in AI safety and interpretability, from Boston and beyond.
Research
Support for members doing their own AI safety research.
Who this is for
AI safety needs more than AI researchers and software engineers.
Many of its hardest problems are about policy, law, cybersecurity, biology and psychology.
We welcome undergraduate, master’s and PhD students from every program at Northeastern.
Open to undergraduate, master’s and PhD students in every program.
Fellowships
An eight-week introduction to AI safety, taught by people who work in the field. Most
Northeastern students have no AI safety course available to them, so we created one. The
first fellowships begin in January 2027.
Two tracks, one fellowship
Technical track
For students who want to make AI safer by working on the technology itself.
How modern AI systems are trained
Why aligning them is hard
Mechanistic interpretability: looking inside a model
Technical governance
Starts from the fundamentals.
Policy track
For students who want to shape how AI is governed.
The risks posed by advanced AI
How governments and companies are responding
What good standards, safeguards and laws could look like
No technical background required.
Both tracks lead to the same place: complete either one and you become a fellow.
How it works
Sign up
Join the mailing list and we will email you before the fellowships begin.
8 weekly sessions
Small groups meet for 90 minutes each week. Each session is led by a graduate student,
PhD student or invited researcher, and ends with a discussion.
Become a fellow
Complete all eight weeks to become a fellow, on either track.
Get into research
Fellows are invited to research meetings and mixers with AI safety researchers at
Northeastern and across Boston. We also plan to work with Northeastern labs on projects
that fellows can join.
Any Northeastern student, at any level and in any program. We are registered as a Khoury graduate club so that graduate students can take part, but undergraduates are equally welcome, and most of our programs are designed with them in mind.
Do I need to know machine learning?
No. The policy track requires no technical background, and the technical track starts from the fundamentals. Several executive board roles are also non-technical.
What is the difference between the technical and policy tracks?
The technical track focuses on making AI systems safer by working on the technology itself: how models are trained, why aligning them is hard, and interpretability. The policy track focuses on how AI is governed: the risks, how governments and companies are responding, and what good standards and laws could look like. Completing either track makes you a fellow.
How much time does a fellowship take?
One 90-minute session per week, for eight weeks.
When do fellowships start?
In January 2027. Join the mailing list and we will email you before they begin.
What does a member do?
Members join our Slack and are welcome at all open meetings and talks. There is no time commitment.
How do I join the executive board?
Apply using the form in the executive board section above. The role takes about 3–5 hours a week, including one board meeting, and no prior experience is required. Students on co-op are welcome to apply.
I already work on AI safety. How can I get involved?
Join our Slack and tell us about your work. We would love to hear from you.