Cambridge AI Safety Hub

Working together to address risks from advanced artificial intelligence.

We are a network of students and professionals in Cambridge (UK) working on AI safety - the problem of ensuring that AI systems don’t cause catastrophic failures as they become increasingly powerful and complex.

We do this by conducting technical and policy research, running educational and research programs for people to learn the skills to contribute themselves, and creating a vibrant community of people with shared interests.

Community.

We’re building a community of people (both students and professionals) in Cambridge, brought together by the goal of making AI development go well.

Attend our start-of-term social October 9th, from 6-8 PM
here!

Education.

We run courses to bring Cambridge students up to speed with the state-of-the-art in AI safety. Some have a more conceptual focus, others involve more hands-on programming. We’re continuing to expand our courses and programming.

Apply for the
Alignment Fellowship
(Due 11th Oct, 11:59 PM).

Research.

We run upskilling programs (eg. MARS 4.0) where participants from the broader AI safety community conduct research and receive mentorship from experienced professionals. Our educational courses provide pathways for anyone interested in contributing to AI safety research efforts.

Getting started with CAISH.

For Cambridge or london-based students or professionals:

We host socials at our office during terms. Come and chat to our members to learn about AI safety and how you can get involved! To hear more about these, sign up for our mailing list here.

00. Join an event.

If you’re new to AI safety, the best way to start learning is to do our Alignment Fellowship (Due 11th Oct, 11:59 PM), a 6-week intensive reading group and workshop series designed to bring you up to speed with the state-of-the-art in AI safety research. The fellowship has a Technical Track and an AI Governance Track, depending on your background and interests.

01. Apply for the Alignment Fellowship.

For those who have done the Intro fellowship, and are looking to go further, our ML Bootcamp is designed to equip you with the skills to start doing safety research during your degree. Note: We will be running our next ML bootcamp during the Lent term in 2025-26.

02. Apply for our ML Bootcamp.

If you want to be part of our leadership and help shape CAISH, contact sambhav@cambridgeaisafety.org, and we will be in touch!

03. Join the leadership team.


MARS 4.0

Ready to shape AI's future? Apply by October 3rd.

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