About Us

Our background:

Oxford AI Safety Initiative, or OAISI (“oh-ay-see”), was spun out of OxAI’s Safety and Governance team in 2024. We believed the AI safety community at Oxford would benefit from an independent organisation focused on supporting its work.

Oxford is home to many capable of contributing to AI safety in Oxford who haven’t yet been introduced to the field or aren’t working on it. This includes technical researchers, generalists, founders, policymakers, and others. The goal of our events and programming is to help you deepen your understanding and make a contribution.

See Our Events ↗
Co-working at Trajan House
A pizza social

Our executive committee

  • President

    Cadence James

    Hi! I’m Cadence and I’m in my third year studying PPE at Wadham. I'm also a contractor at Redwood Research, working on AI model conceptual reasoning. Previously, I was a (Macrostrategy) Summer Research Fellow at the Center on Long-Term Risk, where I did a good amount of conceptual work on risks from AI in the far future. My research interests include AI futurism, AI safety strategy, s-risk mitigations, decision theory in the context of AI, and acausal trade.

    Outside of AI safety, I’ve spent a lot (maybe too much) of my time rowing, doing gymnastics and playing set.

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  • Operations Manager

    Julien Sireau

    Hi, I’m Julien!

    Before joining OAISI, I founded AI Safety Cardiff University and co-founded Gen Stream, a programme for people interested in generalist careers in AI safety. My background is in languages and communications, and I’m particularly interested in field-building, talent development, programme design, and the role of generalists in AI safety.

    I’m always happy to chat with people who are new to AI safety, thinking about where they might fit, or working on community and programme ideas. You can book a quick chat with me below.

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  • Committee Member

    Theo Cunningham

    Hi! I’m Theo, a third year PPE student at St. John’s.

    My main interests are AI safety strategy, international AI governance and AI consciousness. In the next few weeks I’ll be doing a research project in one of these areas.

    Outside of AI safety, I help organise EA Oxford, debate competitively, and enjoy running.

  • Committee Member

    Catherine Ge-Wang

    Hi! I’m Cath, and I run the OAISI Policy Team alongside Cadence and Krish. I’m also a maths undergrad at Christ Church. One of my top priorities is to make the AI policy space inclusive and accessible for newcomers. I’m working on verification as a MIRI Technical Governance Team fellow, mentoring a SPAR stream on automated auditing, was previously a part-time research collaborator at Redwood Research, and worked on building misalignment evals with my mentors at UK AISI.

    Outside of organising, I love learning foreign languages and going to the gym!

Advisors

  • Advisor

    Matthew Farrugia-Roberts

    Hi, I’m Matthew! I’m a DPhil in Computer Science at Magdalen. I came to Oxford to deepen my understanding of technology and its future and to broaden my understanding of society and its history, in order to help these things work better together. My current technical research is on understanding emergent agency in reinforcement learning. In the past, I have worked on developmental interpretability and singular learning theory, goal misgeneralisation, neural network geometry, and inverse reinforcement learning. I’m excited to meet students and researchers across Oxford who are studying and working on all topics relevant to the future of AI and society.

  • Advisor

    James Lester

    Hi, I’m James. I was previously President of OAISI, and just graduated from the MPhil in Economics at Balliol. Before this, I graduated from Cambridge (also economics), where I became concerned about extreme AI risks through the effective altruism community in 2022. I was an ERA:AI fellow in 2024, and have also worked in a think tank, economic consultancy and quant trading firm. My research has focused on incentive problems and “market failures” across AI governance and strategy.

  • Advisor

    Nick Marsh

    I work at Macroscopic on grantmaking and strategy. My background is in AI policy: I researched AI strategy as a visiting fellow at Constellation, built ambitious US policy proposals with the AI Futures Project, and was a Pivotal Technical Governance Fellow. Back in 2024, I co-founded OAISI (with Gracie Green) as a CS and Philosophy student at Hertford (fear the deer!), and I continue to advise its leadership on field-building strategy.

  • Advisor

    Juliana Eberschlag

    Hi, I’m Juliana! I was previously Programme Manager at OAISI, where I worked across operations, community building, and programme design to support Oxford’s growing AI safety ecosystem. Before that, I studied Philosophy at Queen’s University in Canada with a focus on philosophy of science, mind, AI, and logic - topics which remain reflective of my interests. I’m always keen to connect with others thinking about AI safety (especially from a high-level perspective), but I’d also be excited to chat all things music, personal psychology insights, or whatever else you’ve been pondering lately.

  • Advisor

    Skye Yi-Hardie

    Hi! I’m Skye; I previously studied Computer Science and Philosophy at Hertford College, and am now working as a Contract Generalist at Kairos, helping with Pathfinder, SPAR and more.

  • Advisor

    Louis Thomson

    Hi, I’m Louis! In 2025, I graduated from the Master’s in Computer Science and Philosophy at Oxford. My main interests include AI [control / safety / ethics], game theory, and cooperative AI. I’ve previously worked on the following projects (in order of recency): agentic monitoring for AI control; cooperation and alignment in multi-agent games; AI-Control games; and behavioural evaluations of deception in LLMs.

FAQ

What kind of AI-related risks are OAISI members most concerned about?

OAISI is primarily concerned about catastrophic risks resulting from AI. Some of the main threat models we’re worried about include: misalignment, wherein AI systems pursue unintended goals, as well as loss of control (and even potential AI takeover) as these AI models become more competent and empowered; AI being used to concentrate power amongst a small group of people; and AI being used by bad actors to create large amounts of harm (for instance, via cyberattacks or even deadly bioweapons). While many of us disagree over how likely or severe we expect each of these to be, these are probably the major concerns of us here at OAISI.

Where can I learn the basics?

We recommend aisafety.info as a good place to start - it offers a series of introductory articles.

If you’re looking for an introduction to different concepts in AI Safety, you might find Rob Miles’ YouTube channel useful. For a more in-depth, up-to-date and structured course, BlueDot Impact run an excellent introductory course - you can browse the curriculum here.

We also encourage you to browse the selection of courses listed here. See also the resources we list.

Can I get involved if I don’t have a technical background?

Yes! Some high-level familiarity with the AI training process and key concepts in AI Safety is very helpful, but you can acquire these without formally studying AI or ML. A lot of our programming is aimed at both technical and non-technical participants. For instance, our Intro Fellowship, AI Policy Seminars, Strategy Salon and Blog Post-Writing Sprints can all be great fits for non-technical participants, and none require a technical background.

I heard this specific argument against working in AI Safety - has anyone in AI Safety considered it?

You might want to check whether it’s close to one of the objections considered on this site, in this article or in the Appendix of this paper. If you’d like to chat about any other uncertainties you have about AI Safety, please do get in touch.

What are some other resources you recommend?

For frequently updated compilations of resources, you might be interested in Arkose’s, BlueDot Impact’s, and AISafety.com’s lists.

If you want to keep up to date with developments in transformative AI, and AI Safety in particular, we recommend the Don’t Worry About the Vase, Transformer, ACX, and Import AI blogs and the 80,000 Hours, Dwarkesh, and AXRP podcasts.

What can I do over the vacation to learn more about AI Safety?

If you haven’t done so already, we recommend BlueDot Impact’s AI Safety Fundamentals for understanding AI safety from first principles, especially the courses and readings which focuses on catastrophic risks. You can either formally enrol in these (they operate on a cycle) or self-study.

If you’re already familiar with the basics, consider putting in an application for FIG, MARS and SPAR to start building your research portfolio.

If you’re just getting into AI Safety at the start of the long vacation, please don’t hesitate to reach out to us! We might be able to put you in touch with formal opportunities, introduce you to safety researchers doing some cool projects, or provide more informal guidance, so that you’ll be able to hit the ground running at the start of Michaelmas! We also recommend perusing our Resources section.

What if I’m just visiting?

Feel free to put your name in our visiting OAISI form!

I have feedback on how OAISI could be improved.

If you have any particular feedback on how we can improve our community and programming, please let us know on our feedback form.

I’m interested in helping more with OAISI.

Applications for our General Committee are open on a rolling basis for the 2026-27 academic year. Committee members help run our fellowships, roundtables, speaker events and more, and build skills for a career in AI safety along the way. Past members have gone on to work with Forethought, Redwood Research, UK AISI and Kairos. We’d love to see your application!

Contact us

Feel free to send an email to one of our committee members at [name]@oaisi.org or just reach out to info@oaisi.org

Get involved

If you’re new and interested in learning more about Oxford’s AI safety community, we’d love to have you sign up for our mailing list or join us at an upcoming event.

If you have questions about AI safety or OAISI, you’re also welcome to reach out — we’re happy to meet for a coffee, go for a walk, or have a quick call.

Our newsletter.