Collaborations
BERI’s primary work is with university institutions and researchers focused on mitigating x-risk. We collaborate with our partners in a variety of ways. Sometimes, we can quickly provide funding for an activity that is difficult to fund through university mechanisms. Other times, we provide researchers with a service that they need.
Our main collaborations are with the following groups:
- CHAI — the Center for Human Compatible AI at UC Berkeley
- CSER — the Centre for the Study of Existential Risk at Cambridge University
- FHI — the Future of Humanity Institute at Oxford University
- SERI — the Stanford Existential Risks Initiative
- ALL — the Autonomous Learning Laboratory at UMass Amherst
- The Sculpting Evolution Group at the MIT Media Lab
- InterACT — the Interactive Autonomy and Collaborative Technologies Laboratory at UC Berkeley
- David Krueger's lab at the University of Cambridge
In addition, we are currently exploring trial collaborations with the following groups and individuals:
- Charles Whittaker's group at Imperial College London
- CLTC — the Center for Long-Term Cybersecurity at UC Berkeley
- CTPL — the Tech Policy Lab at Cornell University
- Dylan Hadfield-Menell's lab at MIT
- ILIAD — The Intelligent and Interactive Autonomous Systems Lab
- Joshua Lewis's group at New York University
- Karina Vold's lab at the University of Toronto
- Lionel Levine's lab at Cornell University
- OCPL — The Oxford China Policy Lab
- OATML — The Oxford Applied and Theoretical Machine Learning Group
- Meir Freidenberg and Joe Halpern at Cornell
- The Safe Robotics Laboratory at Princeton University
- Sam Bowman's lab at New York University
- Yale Effective Altruism, to support x-risk discussion groups
If you work with any of these groups, BERI encourages your requests for support!
How to request support
If you are interested in receiving support from BERI, the best way to explore this possibility is to email contact@existence.org. We will then start a conversation about your plans, moving forward as we feel is appropriate for the situation.