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Join a 7-week reading group exploring cutting-edge technical AI safety research from OpenAI, Google DeepMind, and more.
Weekly 2-hour meetings on UBC campus with food provided
Small groups of ~6-8 people
No additional work outside of meetings
Applications are closed for the semester. Submit your email here to be contacted next semester when applications open.
Who can apply?
We aim to accept primarily undergraduate and graduate students at UBC, but students from other schools or working professionals are encouraged to apply.
What are the dates?
The course will run from the week of Oct 6th to the week of Nov 24th. We will meet weekly, except for midterm break (week of Nov 10th) .
What will I learn during this course?
Most of our material is drawn from the AI Safety Atlas, a textbook on AI safety. The course primarily focuses on preventing catastrophic risks arising from future AI systems. We focus on catastrophic risks because we think they are neglected relative to their scale.
When and where does each cohort meet?
We ask for your availability in the application and will try to accommodate your schedule when forming cohorts. Each cohort meets once a week for two hours in-person at UBC. The exact location is to be determined.
How much experience with machine learning do I need?
No background in machine learning is required. Those with more relevant technical skills will be given priority, but we encourage everyone to apply. We may sort cohorts by experience level.
Should I apply if I'm more interested in AI governance and policy?
Check out our AI Policy Reading Group. It's possible to be in this course and the policy group at the same time.
What if I already know all the material in the curriculum?
Please contact us at the bottom of this page to explore other ways of getting involved!
Who will be my facilitator?
The facilitator is Sayuj. See his bio here. We are actively hiring one more facilitaor. If you know anyone would be a good fit, please email us your recommendation at ubcaisafety@gmail.com.
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