Call for Proposals

CAIF is seeking proposals for work to improve our ability to evaluate cooperation-relevant features of AI systems. Examples of such work include theoretical contributions on how to define and measure key Cooperative AI concepts, and practical contributions such as benchmark environments and datasets. Anyone is eligible to apply, and we welcome applications from disciplines outside of computer science.

Call for Proposals

CAIF is hosting a fortnightly seminar series on New Directions in Cooperative AI, in which we invite leading thinkers to offer their vision for research on cooperative AI. Unlike typical academic talks, these seminars are explicitly agenda-setting, describing a line of work that many researchers could pursue and that CAIF could support. We are currently accepting proposals for new talks.

Grant

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. 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. Prospective PhD students interested in working at the lab are encouraged to apply for a PhD program at CMU's Computer Science Department.

Grant

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.