Contribution to the handbook
Supporting · Assessed 2026-10-28
Examples involving policy, campaigns, planning, and AI development provide practical context for possible public-input processes. The evidence does not establish that input influenced decision outcomes or that participants were representative, so these examples do not specify a governance design by themselves.
Does this challenge the goal?
None identified
Asking about reported uses of collective discussion systems fits the practical exploration and does not contest its goal.
Reported use does not establish that a system caused or improved a decision.
Why this category?
- implementation-context
- useful-background
- evidence-limits
The examples come from one chapter and an article’s proposed applications; the supplied material does not establish their representativeness or effects on decisions.
This is an AI assessment of contribution to the goal, separate from whether the question has an answer.
Making and interpreting laws →
Authority, accountability and resilience →
Read the exploration goalNew evidence is being assessed. Any answer below is provisional; parts whose evidence changed or was withdrawn are withheld.
Identify the decision areas and concrete examples of reported use, distinguishing use to inform a decision from proof of influence on its outcome.
What we can say so far
Collective discussion systems have reportedly been used to inform **public policy, electoral and civic processes, long-term planning, and AI development**. Examples include discussions of ride-hailing regulation; Takahiro Anno’s 2024 Tokyo campaign, which used Talk to the City to visualize public perspectives and GitHub discussions to refine proposed policies; a later special-election program that put citizens’ concerns to incumbent politicians; and a consultation gathering opinions for Tokyo’s plan toward 2050. The chapter also describes Cortico technology as helping inform civic processes associated with Michelle Wu’s 2021 Boston election, and Polis as gathering public input for the constitution guiding Anthropic’s Claude 3. These are reported uses of input, not proof that a system changed an election result, a final policy or plan, or a model’s behavior. OpenAI’s reported grant program and plans for a public-input team are related efforts, not evidence of a completed model-design decision.
What remains open
- The supplied evidence does not establish how much the input influenced final electoral, regulatory, planning, or AI-model outcomes, or how representative participants were.
Conditions and limits
- The examples are attributed to one supplied chapter; related passages from that chapter are not independent corroboration.
- The special-election program conveyed concerns to politicians, and the Tokyo planning project collected opinions; the supplied evidence does not say how those opinions affected decisions.
- The reported adoption of proposals in Anno’s campaign concerns campaign policy proposals, not adoption as public policy.
Evidence and related ideas
Supporting evidence, qualifications and context play different roles in this answer.
supports
Public input in a campaign In Tokyo’s 2024 gubernatorial election, Takahiro Anno published his manifesto online and invited feedback through X, Google Forms, AI-handled calls, and GitHub. The campaign used Talk to the City to visualize perspectives and GitHub discussions to refine policies. The chapter reports that over 15 days, 232 issues were raised, 104 change proposals were submitted, and 85 were adopted. An AI avatar on YouTube also answered questions around the clock.
Reports Anno’s campaign input channels, visualization of perspectives, and GitHub policy refinement.