If you want to contribute to AI assurance work (credit-model tests, language evals, or a finding), use this form. If you need a model reviewed, request a review instead.
This is not a mailing list. It is a working research community.
Collaborate on active research projects — co-author papers, contribute data analysis, provide domain expertise, or lead independent inquiries under the SAFE Labs banner.
Our work spans AI governance, quantitative finance, public health systems, institutional economics, climate, and geopolitics. The best insights come from the intersections.
No institutional politics. No agenda beyond getting things right. Research is published openly, attributing all contributors. Your work, under your name.
We are rooted in African institutions and realities — but publish for, and engage with, a global audience. Rare positioning for researchers who straddle both worlds.
You define your involvement. Peer review a draft, co-author a policy paper, contribute to a dataset, or lead a working group — based on your capacity and interests.
Connect with SAFE Labs' partner institutions, practitioners, and media network. Research does not stop at publication. We work to get findings into the rooms where decisions are made.
We are not looking for a fixed profile. We are looking for people with deep knowledge in at least one domain, an instinct for rigorous thinking, and a willingness to work across conventional boundaries.
All career stages welcome. Grad students to senior fellows.
We review every application personally — no automated filtering. We look at your domain, background, and research interests to understand where you might contribute.
If there is a good fit, Abdullah or a domain lead will reach out for a short conversation — typically 20–30 minutes — to discuss active projects and mutual interests.
You choose your initial involvement — reviewing a draft, contributing to a live dataset, or joining a working group. No pressure to overcommit from day one.
Active contributors are brought into the full network — access to working documents, draft papers, peer review channels, and the broader SAFE Labs community.
We read every application. There is no automated filter and no published acceptance rate. What we look for:
We do not pay a stipend yet. Contribution level is agreed after the first conversation — not as a quota of papers.
Tell us about yourself. We read every application.