Applications for our autumn intro course in effective altruism are open until 8 September. Apply now

Help ensure advanced AI goes well.

AI may become the most transformative technology of this century. Ensuring it is developed safely is an open research problem — the field is young, the stakes are high, and technically strong students can contribute early.

Why AI safety matters

  1. Progress is fast

    Frontier AI systems now match or surpass human experts across a growing range of tasks, and the leading labs are explicitly working towards more general and more autonomous systems.

  2. Alignment is an unsolved problem

    We do not yet know how to reliably make advanced AI systems pursue the goals we intend, or how to verify that they do. Many leading researchers — including Turing Award and Nobel laureates — consider catastrophic risks from advanced AI a serious possibility worth addressing now.

  3. The field is neglected

    Far more people work on making AI more capable than on making it safe. For someone early in their career, that gap represents unusual leverage.

For the full argument, see 80,000 Hours' problem profile: Preventing an AI-related catastrophe.

Opportunities as a KTH student

The field needs people who can do rigorous mathematics, build real systems, and reason carefully about how they fail.

Technical research

Interpretability, evaluations and alignment theory. Backgrounds in computer science, mathematics and physics translate directly — including thesis projects.

Engineering

Safety teams need strong engineers for evaluation infrastructure, red-teaming tools and research platforms — often more urgently than theorists.

Governance & policy

Standards, audits and international coordination. Policy work needs people who understand the systems being regulated.

Introductory course in AI safety — Period 2

This autumn we plan to run an introductory course in AI safety during Period 2: weekly readings and small-group discussions covering the core arguments, the current research landscape and career paths into the field. No machine-learning experience is required.

Registration is non-binding. We will contact you when applications open.

New to effective altruism?

AI safety is best understood in context: how does it compare with other ways of doing good? Our intro course covers exactly that question — applications are open now.