Apart Lab is a research accelerator for ambitious and enthusiastic individuals across the world to speed up their impact in technical AI safety with senior advising, project management, and a highly collaborative environment.
The Lab has hosted 50 researchers to date, with over 30 active researchers at any given time. Our talented team focuses on high-impact research areas such as evaluation methodologies, benchmarking, interpretability, and AI control. Most of their work aims for peer-reviewed publications, and some of their research has been utilized by prominent organizations like the OpenAI Superalignment team, the UK AI Safety Institute, and Anthropic.
Meet some of our fellows below and explore our publications here.
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The Lab is a research accelerator that helps you fast-track your career in AI safety research. We provide access to top-notch advisors, project management support, and research assistance to ensure the success of your research projects.
Our ultimate goal is to help you publish your work in leading peer-reviewed academic conferences and journals, such as NeurIPS, ACL, and ICLR, where you can receive valuable feedback and witness the impact of your research on the AI safety community and get valuable career capital for your next steps. Below, you'll find answers to all your questions about our program:
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The typical primary research outcome is a published peer-reviewed paper. Depending on the project’s nature, the primary outcome may also be research software or a product prototype. Secondary outcomes additionally include conference presentations, posters, blog posts, or other kinds of outreach or publication.
The fellowship aims for efficiency and timeliness, but the exact duration will depend on capacity of the involved team members and difficulty of the research project. We aim to complete the project (typically, with a publication-ready draft) within three to six months.
Support includes mentorship from experienced researchers, research project management, access to resources like GPUs, and a collaborative research environment with a cohort of like-minded Apart Lab fellows.
The mentorship includes research guidance from experienced AI safety researchers, as well as support via research project management. Mentorship and project management happen via regular meetings with the whole project team, as well as in a 1-1 setting on demand.
The mentors at Apart Lab are experienced researchers and professionals in the field of AI safety and related areas. Read more about our mentors here. Apart Lab also maintains connections with external researchers to provide additional feedback to our Apart Lab fellows.
Yes, the fellowship is designed to be completed remotely and independently of time zones, offering flexibility and accessibility to participants globally.
The fellowship primarily operates remotely, but there may be opportunities for in-person collaboration depending on the project and location. Please approach us individually about this so we can discuss the options.
The weekly time commitment is flexible but must allow meaningful progress on the research project, meaning typically at least 10 hours per week.
The research projects will be owned by Apart Lab fellows who will become the lead authors on resulting publications. As usual in academia, first authorship and coauthorship will be shared with anyone substantially involved in the research process depending on their contributions.
Yes, Apart Lab supports collaboration and co-authoring with external researchers, subject to the relevance and alignment with the research project.
Within the Lab, your travel and tickets will be covered for your accepted submissions for conferences and workshops together with your teammates. Additionally, we keep an overview of open grant programs and encourage and make it easy for you to apply for your research project.
Participants will receive recognition for their involvement primarily via authorship on any publications. We also provide graduates of the Apart Lab fellowship with certificates of completion.
Research at Apart Lab focuses on core topics within AI safety, including model evaluations, model interpretability, multi-agent systems, and AI governance.
Communication and collaboration at Apart Lab happen asynchronously via Discord and other remote collaboration tools, as well as via regular (online) meetings within the project team, within the whole lab cohort and in 1-1 settings with mentors and team members.
Apart Lab helps setting up teams for efficient collaboration, with clear roles and responsibilities, owned and driven by the lab fellows themselves but with support and guidance from Apart Lab mentors.
Progress is monitored through written updates and regular check-ins, project milestones, and feedback sessions.
Feedback at Apart Lab happens in meetings with Apart Lab mentors as well as peer-to-peer within the project teams and the lab cohort.
There is no application. To join the fellowship, join one of our Apart Sprints. We invite the most promising teams to join the fellowship.
The fellowship is open to individuals with a strong interest in AI safety research and the required skills, as demonstrated during one of our Apart Sprints. No formal credentials are required.
Apart Lab’s explicit goal is to allow everyone across the globe to participate in AI safety research according to their capabilities. If you feel uneasy about joining Apart Lab because you feel you might not fit in, please get in touch at contact@apartresearch.com so we can figure out how to best support you.
Yes, the fellowship provides networking opportunities through team collaboration on research projects, mentoring with senior researchers, and events and interactions with the wider Apart Lab community.
