Foundations of Cooperative AI Lab

CAIF is pleased to announce that its first major grant, of $500,000, will be to support the Foundations of Cooperative AI Lab (FOCAL) at Carnegie Mellon University (CMU), led by Prof. Vincent Conitzer (Duke University, University of Oxford). Another $3 million will be provided by the Center on Emerging Risk Research. FOCAL’s goal is to create foundations of game theory appropriate for advanced, autonomous AI agents – with a focus on achieving cooperation. Applications for the position of Postdoctoral Fellow at FOCAL are now open, and prospective PhD students interested in working at the lab are encouraged to apply for a PhD program at CMU's Computer Science Department.

Christian Schroeder de Witt

CAIF will also be granting $200,000 in order to support the work of Dr. Christian Schroeder de Witt, who will join Associate Prof. Jakob Foerster’s new lab on multi-agent learning at the University of Oxford. Schroeder de Witt’s work focuses mainly on deep multi-agent reinforcement learning and human-AI interaction, though he is also spearheading interdisciplinary research on the intersection of agent-based modeling, probabilistic inference, and climate policy. Prospective PhD students interested in working at the lab are encouraged to apply to both the Engineering Department and the AIMS CDT at Oxford.


CAIF will soon be offering financial support to individuals, groups, and organisations whose work attempts to improve the cooperative intelligence of advanced AI systems for the benefit of all of humanity. Unfortunately, we are not yet in a position to accept grant applications, though please revisit this page soon for updates. As a temporary measure, we may be able to award smaller grants in highly time-sensitive or otherwise exceptional cases. If you believe this applies to you, please complete this form. Any other enquiries may be sent to Jesse Clifton or Lewis Hammond, though please also be aware that during this time we may not be able to respond to all enquiries in a timely manner.