Audrey Tang

Sure.

So the first time we've used collective intelligence systems on a national issue was in 2015, when Uber first entered Taiwan.

There were protests and everything, just like in other countries.

But very differently, we asked the Uber drivers, the taxi drivers, the passengers, and everyone really, to go to this online pro-social media called Polis.

And the difference of that social media is that instead of highlighting the most clickbait, the most polarizing, most sensational views, it only surfaced the views that bridges across differences.

So, for example, when somebody says, oh, I think search pricing is great, but not when they undercut existing meters.

This is a nuance.

And newest statements like this, usually in other antisocial social media, that just gets scrolled through.

But polis make sure that it's up and front.

The same algorithm that powers polis would eventually find its way into community nodes, kind of like a jury moderation system for Twitter nowadays, x.com.

And so because it's open source, everybody can audit to see that their voice is actually being represented in a way that is proportional to how much bridging potential it has.

And also it gives policymaker a complete survey of what are the middle of the road solutions that will leave everybody happier.

And much to our surprise, most people agree with most of their neighbors on most of the points, most of the time.

It is only that one or two most polarized points that people keep spending calories on.