Consult — UK Government's AI Tool for Analysing Public Consultation Responses
United Kingdom
Consult, built by the UK's i.AI unit with the Alan Turing Institute, uses generative AI to analyse tens of thousands …
Taiwan · Taipei · See the Taiwan profile
AI-assisted civic deliberation platform run by Taiwan's PDIS, using open-source Polis AI to map consensus on ~30 policy issues since 2014. Over 80% of proposals enacted by government; model replicated in multiple OECD countries.
vTaiwan is an AI-assisted public deliberation process run by Taiwan's Public Digital Innovation Service (PDIS), a statutory unit of the Executive Yuan, launched in 2014 with the civic-technology community g0v. It uses the open-source Polis AI platform to cluster citizen opinions into consensus maps for structured dialogue on complex digital-economy legislation.
The process aims to give citizens structured input into policy-making and to bind government agencies to publicly respond to consensus proposals within a set timeframe.
vTaiwan runs through four stages — propose, opinion (Polis survey with AI-generated clusters), reflection (online-to-offline deliberation with officials), and legislation — with mandatory 'Participation Officers' from every empowered agency required to respond publicly within one week. Since 2014, around 30 policy issues have been addressed, including ride-sharing regulation (Uber, 2016), online sales of regulated substances (2016) and sharing-economy frameworks (2018); the Polis tool has since been adopted in Colorado, Finland, the European Commission and other OECD countries.
Over 80% of vTaiwan's proposals have subsequently been enacted by government. The mailing list reached 200,000 subscribers by 2020, though participation per individual consultation has been modest, ranging from 350 to 2,300 participants, and the process has concentrated mainly on digital-economy topics.
The open-source technology, mandatory government accountability and international replication make vTaiwan one of the most transparent documented examples of AI-assisted government deliberation, though its self-reported enactment rate has not been independently evaluated and broader social-policy issues have proven harder to address.
Implementation detail (cost, timeline, staffing, conditions for success) is not yet available for this practice.
Where this practice's information was retrieved from, and when.
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