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contents/english/2-2-the-life-of-a-digital-democracy.md

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 During this process of institutionalization of g0v, there was growing demand to apply the methods that had allowed for these dispute resolutions to a broader range of policy issues.  This led to the establishment of vTaiwan, a platform and project developed by g0v for facilitating deliberation on public policy controversies.  The process involved many steps (proposal, opinion expression, reflection and legisation) each harnessing a range of open source software tools, but has become best known for its use of the at-the-time(2015)-novel machine learning based open-source "wikisurvey"/social media tool Polis, which we discuss further in our chapter on 05-04 Augmented Deliberation below.  In short, Polis works much like a conventional microblogging service like Twitter/X except that rather than displaying content that maximizes engagement it shows the clusters of opinion that exist and highlights statements that bridge them to faciliate both consensus formation and the better understanding of lines of division.
 
-<img src="https://raw.githubusercontent.com/pluralitybook/plurality/main/figs/vtaiwan-polis.png" width="100%" alt="vtaiwan-polis">
+<img src="https://raw.githubusercontent.com/pluralitybook/plurality/main/figs/vtaiwan-polis-ai.png" width="100%" alt="vtaiwan-polis">
 
 vTaiwan was deliberately intended as an experimental, high-touch, intensive platform for committed participants.  It had about 200,000 users or about 1% of Taiwan's population at its peak and held detailed deliberations on 28 issues, 80% of which led to legislative action.  These focused mostly on questions around technology regulation, such as the regulation of ride sharing, responses to non-consensual intimate images, regulatory experimentation with financial technology and regulation of AI.