Participatory deliberation as policy input on AI

Convene structured, facilitated deliberations among ordinary citizens — random-sampled, regionally representative, sectorally representative — about specific AI policy questions, and feed the deliberated output into regulator, legislative, or platform-governance processes that would otherwise be decided by experts and lobbyists alone. The form is a citizens' assembly, a vTaiwan-style online consensus platform, or a community-rooted alignment assembly; the discipline is procedural rigour that the receiving institution will accept as legitimate.

An actor chooses this strategy because legitimacy is itself a scarce resource in AI governance: regulators and platforms openly say they do not know whom they speak for, and a deliberated public input fills that void in a way no NGO position paper can. Done well it produces a constituency the institution did not have to invent and a record of public reasoning that constrains a future U-turn.

It trades off speed and reproducibility for legitimacy. A good deliberation is expensive and slow, and its findings tend to be moderate where the underlying harms are not; institutions can also use the form as cover — commission the assembly, accept its findings selectively, and proceed as planned. Without a binding link to the downstream decision the strategy reduces to civic theatre.