---
id: "workshop:citizen-assemblies-and-ai"
type: "InnovateUS workshop"
title: "Citizen Assemblies and AI"
url: "https://innovate-us.org/citizen-assemblies-and-ai"
date: "2025-10-29"
duration: "60 minutes"
language: "English"
series: "Reboot Democracy: Designing Democratic Engagement for the AI Era"
instructors: ["Claudia Chwalisz","Danielle Allen"]
recording: "https://www.youtube.com/watch?v=dyxA1Q84wdM"
transcript: "automatic, from the recording"
source: "InnovateUS (innovate-us.org)"
licence: "CC BY-SA 4.0 (https://creativecommons.org/licenses/by-sa/4.0/), as stated on innovate-us.org"
---

# Citizen Assemblies and AI

InnovateUS workshop · 29 October 2025 · 60 minutes

Explore how artificial intelligence can enhance citizen assemblies and other deliberative democratic innovations. Learn how AI can improve participant selection, facilitate small group discussions, synthesize complex policy information for lay participants, and help assemblies process expert evidence more effectively. Examine real-world examples of AI-supported assemblies and discover frameworks for maintaining democratic legitimacy while leveraging technology to make deliberative processes more accessible and effective. Moderated by Danielle Allen, Director of the Allen Lab for Democracy Renovation, Harvard Kennedy School

## Learning goals

- Explore how artificial intelligence can enhance citizen assemblies and other deliberative democratic innovations

- Learn how AI can improve participant selection, facilitate small group discussions, synthesize complex policy information for lay participants, and help assemblies process expert evidence more effectively

- Examine real-world examples of AI-supported assemblies and discover frameworks for maintaining democratic legitimacy while leveraging technology to make deliberative processes more accessible and effective

## Speakers

- **Claudia Chwalisz**, Founder and CEO, DemocracyNext
- **Danielle Allen**, Director of the Allen Lab for Democracy Renovation, Harvard Kennedy School

Part of the series [Reboot Democracy: Designing Democratic Engagement for the AI Era](https://innovate-us.org/workshop-series/democratic-engagement).

Recording: https://www.youtube.com/watch?v=dyxA1Q84wdM

## Transcript

Automatic transcript of the recording: names and terms can be misheard, and the times can be a few seconds off. Each time links to that moment of the video. The transcript alone: https://innovate-us.org/citizen-assemblies-and-ai.txt (plain text) and https://innovate-us.org/citizen-assemblies-and-ai.json (every segment with its start and end second).

**Danielle Allen**

[0:00](https://youtu.be/dyxA1Q84wdM?t=0) Again, we're so glad you're here for the fifth workshop in our series, Reboot Democracy, Designing Democratic Engagement for the AI Era. This series is a collaboration between InnovateUS, the GovLab, and the Allen Lab for Democracy Renovation at Harvard University, my lab at the Kennedy School. We're very happy today to welcome Claudia. There you go. Sorry, Claudia.

**Claudia Chwalisz**

[0:34](https://youtu.be/dyxA1Q84wdM?t=34) That's okay. Claudia. Claudia Suarez.

**Danielle Allen**

[0:38](https://youtu.be/dyxA1Q84wdM?t=38) I'm sorry. That's what I get for thinking about it too much. So Claudia is the founder and CEO of Democracy Next, an international institute dedicated to scaling high-quality, empowered, and permanent citizens' assemblies. She's worked on democratic innovation for more than a decade, beginning with research on populism, and the way disillusionment with politics stems from a lack of real agency in decision-making. Claudia co-leads the PopUp Lab on tech-enhanced citizens' assemblies. This is a collaboration between Democracy Next, her organization, and the MIT Center for Constructive Communication. She co-designed the first permanent citizens' assemblies in Paris, Ost-Belgien, and Brussels. She's an advisor to the UN Democracy Fund, the MIT Center for Constructive Communication, the Data Tank, and Design and Democracy, and was named one of 2023's Obama Leaders Europe. Previously, Claudia established and led the OECD's work on innovative citizen participation, building an evidence base of hundreds of assemblies and setting standards for their institutionalization.

[1:43](https://youtu.be/dyxA1Q84wdM?t=103) Her work has been featured in major outlets, including Nature, Science, Le Monde, The Guardian, the BBC, Politico, and others. So before we begin, we're really, you know, in for a treat today. I want to say that. It's very exciting to have Claudia with us. Before we begin, a few quick notes. The name that you use here in your Zoom will appear on your certificate of attendance. Please rename yourself. So, you know, Happy Rabbit, that kind of thing. Probably you want to change that and have whatever name you actually want on your certificate. The session is being recorded, but only the presentation part, not the Q&A. We'll have 15 to 20 minutes at the end for your questions. Please use the Q&A button for those and the chat for comments or introductions. Finally, if you'd like to follow along with translated captions, Zoom now offers automatic translation into several languages. We'll post short instructions in the chat. Just make sure to select English as the spoken language before choosing your preferred translation language.

[2:45](https://youtu.be/dyxA1Q84wdM?t=165) Alrighty. And with that, it's my great pleasure to introduce Claudia, who will start with a presentation of, say, 15 or so minutes. And then she and I will have a conversation and then we will look forward to the broader Q&A. So, Claudia, over to you. Thank you so much for being here.

**Claudia Chwalisz**

[3:05](https://youtu.be/dyxA1Q84wdM?t=185) Fantastic. Thank you, Danielle. And thanks, everyone, for, yeah, for taking an hour of your day to join us for this. I was really happy to be invited to share a bit of the work that we're doing. And, well, I was saying to Danielle just before we started, like, it's also a nice opportunity to have a chance to share some of the, like, newer things that I'm working on and thinking about. I would say, like, half of this, the part about Citizens Assemblies, I've been working on for the past 15 years. And the part about AI and how that interacts with Citizens Assemblies is more recent in the past year or two. And even, like, every month there are new things. So I also am really curious to hear what kind of questions you have and how you've been thinking about this and using some of this technology in your own work as well. So I will kick off with a little presentation, as Danielle said, about Citizens Assemblies and AI. And I guess, like, for me, the starting point before diving into some of, like, the meaty part of things is really about, like, the step back of, like, why am I even doing this work?

[4:08](https://youtu.be/dyxA1Q84wdM?t=248) And it's really motivated by the fact of feeling that, like, around the world, people lack agency to be shaping the decisions that affect their lives. And a hypothesis that if people do have greater agency, that this leads to having a more resilient society where people have stronger trust between one another in institutions, that this leads to less polarization and a stronger sense of belonging. And on the other side of things, there's also a sense that our governance systems, as they have been designed and kind of implemented for quite a long time, are in some ways failing to address the hard, most complex issues that are kind of exemplary of our time today. And it's why I have an interest in Citizens Assemblies as a mechanism that are brave spaces which allow for us to be able to leverage our collective intelligence, to be with the complexity of the issues that we face, and to find common ground with one another. These are really just like a better creative problem-solving mechanism for addressing some of these complex issues of our time.

[5:12](https://youtu.be/dyxA1Q84wdM?t=312) So I am going to take a moment and introduce Citizens Assemblies. And so Danielle said this, the work that I'm doing at Democracy Next is we're an international research and action institute that's focused on scaling high-quality, empowered, and permanent Citizens Assemblies. And I guess the AI intersection also is really related to this focus on scaling. And I'm going to unpack what I'm talking about that later in this presentation. And the mission of my organization is to shift who has power and how we take decisions in government, but also other kinds of organizations of daily life. So we've also been seeing like cities and governments, but also economic and financial institutions, like pension funds and cooperatives using Citizens Assemblies, cultural institutions like museums, also universities and schools that are interested. And some of the work that we're doing is helping to create the legal, digital, civic, and physical infrastructure that can help support this work. So here we're going to dive into that digital element of this.

[6:15](https://youtu.be/dyxA1Q84wdM?t=375) And so to make the idea of Citizens Assemblies less abstract, because I'm mindful that probably some of you who are joining know a lot about assemblies. Some of you, this might be the first time you're hearing about it. So like, what am I talking about? So I'll give you an example of a project that we were involved in last year in Deschutes County in Oregon, which was the Deschutes Civic Assembly on Youth Homelessness that presented recommendations to the Central Oregon Intergovernmental Council, Deschutes County, and the city of Bend at the end of it. And this process brought together 30 people from across the county to address a question of what should be our priorities for building community solutions to prevent and end youth homelessness. So this group of individuals, they met together like this over the course of five full days of deliberations spread out over a number of weeks, about, I think, four or five weeks, if I remember correctly, off the top of my head. And they worked together to come up with, at the end of this, that were directed at these different institutions.

[7:18](https://youtu.be/dyxA1Q84wdM?t=438) 23 different recommendations And I share these photos because this was also a tech-enhanced assembly, but you don't see the tech everywhere in these photos. So I'm going to also elaborate a little bit on, like, in what ways can we be using technology also to be supporting what are, at the end of the day, in-person, very human processes as well. So I said that they ended up with 23 recommendations. And to this point about agency, I just have a very short video clip of, like, at the very end of this process, one of the assembly members just sharing the impact of, like, having been part of this assembly has had on her.

**Audience**

[8:04](https://youtu.be/dyxA1Q84wdM?t=484) I can't hear the volume.

**Claudia Chwalisz**

[8:07](https://youtu.be/dyxA1Q84wdM?t=487) Oh, right. Okay. I will share that video clip with people after that then. Basically, she's just sharing how this is the first time in her life that she has felt her voice mattered and why this process has also been something that has really kind of transformed, like, the way she sees things and why she's going to get more involved in her community as well after this. So I share it because it links back to, again, like, why are we even doing these assemblies in the first place? So one part is about how do we strengthen people's agency. And the other part is, like, how do we get to kind of better, more legitimate, trustworthy ideas for solutions on addressing complex issues that we're facing in society. And I'll also share a little link in the chat. I'll share links, actually, to various things I'm talking about after. I didn't want to share them before because that would be distracting, but I'll share them after. We also just published, just a few days ago, like, one year on an interview about all the different impacts that this assembly has been having, like, on the people involved, on policy, on the moves to make this a permanent infrastructure in Central Oregon as well.

[9:16](https://youtu.be/dyxA1Q84wdM?t=556) But I wanted to zoom out now from that one example to say, like, that is one example out of hundreds that have been taking place of these kinds of citizens' assemblies all over the world. So this is a graphic from the OECD. This was actually work that I had done when I was at the OECD before founding Democracy Next. So it was over 700 examples globally. This was last updated in 2023. So my hypothesis is actually there's probably closer to about 1,000 examples that we have to date. And these are all examples only commissioned by governments. And we see from that data that these assemblies have tackled a really wide range of policy issues, most of them relating to things to do with the environment, strategic planning, urban planning, health, infrastructure. So again, the kind of very, like, complex issues that are not just of a yes or no nature, often of a somewhat longer term nature as well. And at the OECD, there's also quite a wealth of evidence based on the study of these over 700 examples about international standards of good practice and evaluation guidelines.

[10:23](https://youtu.be/dyxA1Q84wdM?t=623) And we kind of have a pretty good basis for how to do these assemblies well. And what makes them different to other kinds of participation that some of you may be more familiar with is these three key principles that are behind their design, which are sortition, deliberation, and rotation. And I'll just unpack them briefly. So sortition might sound like a wonky or unfamiliar word, but I'm using it intentionally because I think it's just unfamiliar and there's nothing more wonky about it than elections. It just refers to the very ancient practice of randomly selecting decision makers, which we have in the jury system and is being revived in contemporary times to also be used for policymaking and legislation. And these assemblies taking place on constitutional issues in some places as well. So sortition, deliberation refers to collectively weighing shared evidence with the goal of coming to a decision. So it's different to dialogue, which means coming together to talk about something. In a deliberation, you actually have a goal of reaching a shared decision at the end of it, which is why these citizens assemblies have a really structured process to them.

[11:30](https://youtu.be/dyxA1Q84wdM?t=690) And I show, I'm not gonna go into detail but just to give you a sense of how this might be different explaining this diagram, to like a town hall meeting or other kinds of things you might be familiar with is that typically these assemblies take place over the course of at least five days, sometimes more depending on the complexity of the issue and people, and they're often preceded by wider community engagement. But during this process, the smaller group that's broadly representative of the community goes through quite an in-depth process of learning, deliberation, and their goal is really to converge on often 75 to 80% consensus on the final recommendations that they all agree on. And those are what get delivered to the public authority that has commissioned these at the end of it. And then the final principle being rotation. And this really matters in the context of thinking of these, not just as like another tool, but as new institutions. So I mentioned this idea of permanence and the fact that there's more institutionalization happening.

[12:30](https://youtu.be/dyxA1Q84wdM?t=750) So there are more and more cities and regions and other kinds of organizations that are establishing these as permanent institutions that have a legal basis and also a relationship with elected bodies, with public administrations. And so when these are not just one one-off assembly, but there's numerous assemblies happening over time with new groups of people, there's that rotation of power and rotation of who has the privilege and the responsibility of representing others and then being represented in turn. So now that there's like a basis of, okay, citizens assemblies, what are we talking about? How does AI interact with that? A couple months ago with my colleague, Sammy McKinney, we wrote a paper that tried to give a little bit more nuance to this conversation called Five Dimensions of Scaling Democratic Deliberation with and beyond AI. Because one of the things that we have noticed is that there have been increasing numbers of people who are kind of getting interested in these topics, but we're sometimes talking a little bit past each other or not talking about the same thing when we're using some of the same language.

[13:43](https://youtu.be/dyxA1Q84wdM?t=823) So we wanted to unpack a little bit about like, what does scaling democratic deliberation mean? Why is it valuable? And in what ways should we use AI to enable it? And again, as I just said, like this has been because there's been increasing interest in the concepts of scale, but we lack the shared vocabulary and framework for understanding it and it's different dimensions. So we've broken it across these five of scaling out, scaling up, scaling across, scaling deep and scaling in. And I'll go through these briefly one by one to give a sense of what I mean by this. So scaling out is perhaps the most common way in which many people think of scaling, which is about how could we potentially increase the number of people deliberating in one deliberative process, either directly or indirectly. And usually the goal is motivating why people wanna do this is they wanna increase the representativeness of the group, it's legitimacy or it's perceived legitimacy. And then also a desire to just want to bring the benefits of participation in deliberative processes to more people.

[14:47](https://youtu.be/dyxA1Q84wdM?t=887) And so some of the types of AI applications, people are kind of developing or experimenting with or they're related to AI facilitation, maybe sense-making approaches, though sense-making is a kind of common. thread through some of the other approaches to scaling as well. Though I think also there's a number of assumptions also built into when people think about this. So quite often it's not said explicitly, but people are often thinking like the way to achieve scaling out is rather to have these deliberative processes happening online only rather than in person. And so that makes things like AI facilitation and perhaps like not having a facilitator in breakout groups and stuff both like a desirability and possibility. But at the same time I think it also raises other questions about like is this fulfilling those like normative goals about like why we want to do this in the first place. And there's sometimes claims about this being possible at scale like this because it might be cheaper. But one actually detail I didn't mention about citizens assemblies is that people get paid to be part of these assembly processes. They get paid for their time and child care is provided and transport costs are covered that we break down the barriers to participating and make this possible for anyone to be part of it. So part of the I think extra consideration about scaling out whether we're using AI or not is like would this actually be cheaper or would it be like horrendously more expensive if we actually want to fulfill the democratic goals of like paying people and making it possible for everyone to participate equally as well. But there are some interesting AI applications and I'll show some of the examples as well of some of the online only tools that are also helping make some of this possible as well. Another dimension of scaling could be thought of as scaling up. So deliberative processes that are taking place at higher levels of governance. So there have been various calls for like global citizens assemblies. There's been one that took place around climate issues and

[16:48](https://youtu.be/dyxA1Q84wdM?t=1008) actually there's another one that's being talked about at COP just in a couple of weeks time on climate again. Others have raised the issue of like should we have a global assembly around AI governance questions actually given how global this issue is in nature. We've also seen like I'm based in Amsterdam and in the EU there have been now a number of citizens assemblies and citizens panels that have taken place at the EU level related to policy making there with people selected from 27 countries deliberating in 24 different languages. And so the complexities of doing that you can I think maybe start to see how having technology that can help with things like AI translation and interpretation and that getting better but also still not quite there yet in some ways. But the potential of that technology is there but I think also the considerations then come into mind about the tools are not very good yet at capturing things around like nuance, accents, satire and jokes and how those things get translated using tools only without human interpreters that are much better at actually conveying those different things. So yeah but there's some interesting potential and also like that AI interpretation translation kind of functionality is also very relevant for other just multilingual contexts. I'm also involved in a project in a city in Luxembourg where the assembly will be taking place in five different languages and that's at a local level. So there's also that AI functionality relevant in other forms of deliberation. So a third dimension of scaling is about scaling across which means like rather than thinking of like how can we increase more people in deliberations in the sense of like more people in one deliberative process. Thinking about how could we increase the number of deliberative processes like the Deschutes county example. How could we have like assemblies like that happening in every county in the US and every city and every state

[18:53](https://youtu.be/dyxA1Q84wdM?t=1133) and maybe you know every university and every museum and so on. So thinking about how do we rather maybe spread or propagate the number of these assemblies given I would argue there's no shortage of really meaningful and complex issues on which we need to have representative deliberative processes. So part of the goal of this is also to increase citizen engagement and spread those benefits in different ways and I think here different AI applications that we're seeing are more targeted at the practitioners and organizers because I didn't go into the depths of this. I explained more like what happens during this assembly but actually there's like a pretty extensive before the assembly process in terms of actually getting this set up, getting the sortition to happen in practice, onboarding people, preparing the information packages and kind of all sorts of things where you can just start to imagine how actually having like an assembly assistant that could make this easier could actually help with the goal of like enabling more people to be able to do this more easily. When we're talking about scaling deep this refers to increasing the impact of these assemblies through institutionalization that I was explaining and having stronger connections also to the public sphere. So the goal behind this is about promoting meaningful impact and redistributing power. So I would argue on this one this is probably the one where AI things are like the least important when considering that because that's very human relational work that actually starts to shift power and get people to be wanting to set up permanent assemblies. But I think in terms of nonetheless thinking like what aspects of how assemblies are done are related to convincing people that it's worth institutionalizing. And I think being able to communicate better the outputs which are anchored in the voice is able to help connect with the wider public and also support some of the aspects of the report writing and other things that are also really important kind of end results of these assemblies as well.

[20:55](https://youtu.be/dyxA1Q84wdM?t=1255) And then scaling in is the one that I will admit I am most excited about in terms of the AI potential but I think we sometimes overlook in terms of this being like a cool place to be thinking about what could we do. And this relates to like how could we increase the quality of the deliberation with the goal of increasing the legitimacy, the inclusiveness, transparency, and trust in the process. So different AI applications might be referred to having more inclusive learning materials that can suit different types of learning styles. We're seeing some really interesting things to do with sense making. And so by that I mean for example to make that less abstract like during these assembly processes what happens a lot is you're going back and forth between a discussion with this whole group of people. So like let's say 30 people in this huge assembly but they've spent a lot of time also in many small group conversations. And so typically like only the plenaries get recorded but what we did in Deschutes is we also recorded all of the small group conversations. And so that was a very first pilot first time ever that's been done in an in-person assembly but now we're starting to see that done a little bit more. And there's new possibilities of what you can do with the conversation data that could support both the facilitators but also the people deliberating in the process to be able to share in a better way like the richness of what's been happening and maybe some synthesized like key themes and patterns that are emerging a little bit faster.

[22:21](https://youtu.be/dyxA1Q84wdM?t=1341) So it's not perfect yet but it's helping people to be able to have a slightly fuller but also less biased sense of like what has been happening in all of these small group conversations. And then there's also interesting things to do with the visualization of some of these ideas emerging and identifying absent perspectives or discourses. So I know the MIT team I've been working with have kind of experimented in a recent student assembly with the idea of an empty chair. So the kind of AI who's bringing forth perspectives of people that have not been raised by anyone in that group so far as like another consideration of things for instance. And so I'm kind of working on two trajectories like building on some of this initial work and thinking. So one is to expand the repertoire of the critically informed deliberative technologies. And so together with the AI and Democracy Foundation we've launched a deliberate tech network which I'll just share very briefly about. And the second one I'm not going to talk about this but just to say that like I mentioned it when referring to scaling deep that like there's certain dimensions of scaling that technology alone will never be able to do. So I've also been really interested in like what's this like human non-tech side of scaling. So I'm co-writing a paper with Sammy McKinney also about the principles behind nine effective organizations around the world that have played like a really catalytic role in their regions of helping more assemblies and more permanent assemblies take place. So very briefly to give you a sense of the deliberation and technology network. This is something we launched just like last month really so it's pretty new. But it brings together 40 technologists who have an interest in building technologies to support deliberation and deliberative practitioners who have an interest in being open to testing them out and piloting them and trying to bridge these two worlds together so that the technologies that get developed are really serving the practitioners that are doing this work. And so I'll give you just three examples from the network. So I appreciate that I'm not

[24:25](https://youtu.be/dyxA1Q84wdM?t=1465) showing everything and that's some bias. So I chose three open source examples and there are others that are also out there and involved in this network and others in this space. But so one of them is the MIT Center for Constructive Communication who I've as Danielle said in the intro like we've also been collaborating on this tech enhanced pop-up lab. So much of this work has really been in collaboration with them. So one of the examples is we did now two tech enhanced student assemblies. I'll also pop these links in the chat later and where all of the deliberations all the small groups everything was recorded. And you can do really interesting things with that conversation data. So this is just a screenshot from the website that I'll share but one of the master students at the lab has now kind of developed a tool where you can kind of track like the final recommendations. How did the ideas evolve and develop in the way to getting there? And then you can go into the conversation data and actually hear clips from what people were talking about and how those kind of views evolved. Another thing you can do is have all sorts of different visualizations of them like conversation data. So this is a different student Maggie Hughes who have developed these kind of like conversation jellies which give people a sense of like how has their turn taking taken place? Like has anybody really dominated the conversations?

[25:46](https://youtu.be/dyxA1Q84wdM?t=1546) What's been the responsive responsivity between people? So this is obviously interesting for researchers but to me there's also an interesting question of like if people get shown some of this data let's say halfway through an assembly does it also in some way change their behavior to like being more deliberative or like more turn-taking or more responsive to one another in the way that they are kind of interacting with one another in this space. And we are also exploring like in the pre and during phases like all sorts of other things that can be possible and can be done. So I'm not going to go into detail for the sake of time but just to say we're thinking about the different stages together as well. But to share another example so Dembrain is a kind of deliberate tech startup based in Europe and the way that their tool works is they put up like a QR code that everyone that only one person at a small table needs to scan. So kind of overcoming the issue that actually not everyone always has a smartphone so you only need one person in a group to be able to interact with this tool. So it will record the conversations that are taking place in all of the many small groups and then there's like an interface on the back end for the practitioners and various outputs that can be shared with the assembly members as well. So it's also an open source project that's also in line with all of like Europe's privacy kind of guidelines and GDPR and everything. But basically again the conversation data transcripts get uploaded and it's possible to have like a chat and to ask questions using rag searches if anyone's familiar with that terminology. Like again being able to search the transcripts of what's been talked about to gather insights about like what are the main themes that are emerging. And again it's possible to share this back with a group of people and I think the main benefit here and what the founder Joram was talking about when I saw him the other day was like he knows and there's

[27:48](https://youtu.be/dyxA1Q84wdM?t=1668) no claim that this is going to be perfect but it is fast. So the advantage is being able to share this back with a group and to also like sense check and say like you know does this resonate with what your conversations were? Is anything really important missing? Like should we adapt something? But I do think that this gives a better deeper sense of what happened. Like we used we tested this live in a room worth with 70 people that had small group conversations and I think this is more insightful than like popcorning like five people to share what they talked about in their small group conversation. So it kind of just gives that like wider sense of what happened in a group conversation. And then the last one that I'll talk very briefly about is Frankly which is more for the online only context. So some of the tools that are being developed are for like online conversations and this comes out of the Berkman Klein Center at the Applied Social Media Lab there. And they've been building a tool to enable like the complexity of having online groups of large scales where you also like want to have lots of breakout groups and so on.

[28:51](https://youtu.be/dyxA1Q84wdM?t=1731) And also where you might want to have a hostless conversation or to live stream some of these things. So there's all sorts of like different ways you can set up that event depending on how people you want people to be able to navigate through it. And then they have different features like algorithmic group matching. So if you want to have like the greatest diversity possible in each of your breakout groups this will automate that to make it possible based on the demographics or criteria you suggest. They include different embedded discussion prompts into it. So again like and also different deliberative polling techniques and like participation nudges. So people might receive like private messages if like they haven't spoken yet encouraging them to speak or maybe if they've been speaking a little too much a little kind of notification on the other side of the spectrum there. So that gives you like some brief sense. There's so much to cover in 15 minutes so I know I think I'm already a little over time. So I'm just going to say we're working on various different outputs as next steps. I won't go into detail about this now and just to conclude I really think that the the path towards So the title of my book, Scaled Deliberation, is about bridging technological innovation with democracy's fundamental human elements, so that we have the trust, the connection, the understanding, the collective agency, which stays at the heart of like, why are And a democratic future where technology is enhancing rather than replacing those rich we doing this?

[30:22](https://youtu.be/dyxA1Q84wdM?t=1822) interpersonal dynamics, which are at the heart of effective deliberation for increasing democratic resilience in an increasingly complex world. So thank you very much for your time and attention. And I'm very much looking forward to all of the questions and discussion.

**Danielle Allen**

[30:40](https://youtu.be/dyxA1Q84wdM?t=1840) Thank you so much, Claudia, that was fantastic, and just really exciting to see the incredibly rapid process and progress you and your colleagues have been making in recent years. So I'm going to start out with some, you know, pretty basic.

* * *

Original page: https://innovate-us.org/citizen-assemblies-and-ai · Licence: CC BY-SA 4.0 (https://creativecommons.org/licenses/by-sa/4.0/), as stated on innovate-us.org