Discovering Pol.is Through the Lens of Dialogic Education The pol.is experiment in Taiwan is shaping digital democracy

I’m following the work of Professor Rupert Wegerif at the University of Cambridge. His focus on dialogic learning resonates strongly with my work on Conversational Leadership. We also share a belief that better dialogue and better conversation can help shape a better world and strengthen democracy.

In a recent paper of his, A dialogic theoretical foundation for integrating generative AI into pedagogical design, he highlights a democracy experiment in Taiwan called pol.is.

It is well worth exploring. The experiment offers a thoughtful glimpse into what large-scale digital dialogue can become when it is designed to highlight areas of agreement rather than amplify conflict. It shows that when people are given tools that surface patterns in what they value, rather than tools that reward argument, a different kind of public conversation begins to emerge.

It also suggests that collective understanding is not as elusive as we sometimes assume. With the right structures, people with very different views can still recognize shared priorities and articulate them clearly. The approach hints at a future in which governments, communities, and civic groups might draw on similar methods to build more inclusive and constructive forms of participation.