Algocracy could be perceived as the study of social ordering through computation. It asks how AI, multi-agent systems, large language models, and distributed ledgers can support (or distort) the way groups deliberate, decide, and govern themselves.
The term is contested. For some, government by algorithm evokes opaque automated decision-making and the erosion of human judgment. For others, it points to genuinely new possibilities. Collective decision mechanisms that resist manipulation, deliberation tools that surface disagreement honestly, and consensus protocols that scale beyond what classical institutions can handle. Both readings are real, and the research program has to take both seriously.
The work here sits at the intersection of computational social choice, multi-agent systems, and social theory. We build the tools, run the experiments, and host the events that let the field move forward as an empirical discipline rather than a speculative one.
On benchmarking voting mechanisms using AI agents: