Post

Human societies solved an tough version of the multi-agent alignment problem: getting millions, eventually billions, of people to cooperate, coordinate, & enforce shared norms. Those solutions were built over generations through culture, institutions, moral systems, and the cognitive machinery.

As a postdoc, you will work with us and our networks to use ideas from cultural evolution and moral cognition to think more clearly about AI alignment, cooperation, norm formation, negotiation, and value conflict in multi-agent systems.

To offer a glimpse of the kind of questions and approaches you would be working on, consider the question of how the mechanisms of cooperation operate at scale, how are they made concrete in moral norms, and can analogous mechanisms be engineered into multi-agent AI systems?

These synchronic models of moral cognition will be complemented by diachronic models of how moral consensus emergence and expands over cultural evolutionary time. The diversity of human values are themselves continually evolving - how might they coevolve with AI agents?

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We are looking for someone with a PhD (or are close to completion) in computer science, computational cognitive science, or any quantitative science, and a genuine interest in working across disciplinary boundaries.

We’re especially excited about candidates with backgrounds or serious interest in one or more of: computational modeling of social learning, norms, or moral cognition; cultural evolution and gene-culture coevolution;

evolutionary game theory & the evolution of cooperation; mechanism design and institutional design; cooperative AI and multi-agent systems; the study and development of large language models; cross-cultural psychology and large-scale behavioral data; philosophy of morality or social contract theory.