Scenario. A frontier-AI safety body is about to issue binding deployment guidance that will shape how the next generation of models is released worldwide. The technical analysis is in hand; what's missing is any defensible answer to "on what authority?" Expert consensus has it, state positions filtered through diplomatic machinery have it, polling-shaped public opinion has it — but none of these is "what informed humanity, having actually considered the tradeoffs, converged on." The chair, Adaeze, wants a process whose output the body can point to as the public mandate, and that the frontier labs can be held to over time as the mandate moves. She doesn't need it to be binding. She needs it to be legitimating.
Challenge: Design a deliberative aggregation institution that runs structured, AI-assisted deliberation across linguistic and cultural lines on a small number of planetary-stakes questions per year and produces a public mandate downstream institutions can be held accountable to. Produce the institution's design: agenda-setting rule, participant selection, the bounded role of agents inside deliberation, the form of the output, and the safeguards that keep it uncaptured.
Evaluation. A strong proposal aggregates considered preference — what people would say after engaging with the tradeoffs, not what they click — and yields an output concrete enough that a treaty body, frontier lab, or government can be measured against it.