| Aggregate perspectives Ability to aggregate votes and distill more complex forms of open-ended input into outputs and decisions, in fair and understandable ways, such that participants feel their contributions are meaningfully taken into account (and can ideally see how). | | Maturity | Medium | | Importance | High | | Opportunity | Medium | | Neglectedness | Medium | | Transnational | Low | | How this is performed now... - In deliberative polling, ‘final’ outcomes are measured by poll.
- Collective dialogue tools such as Polis use bridging algorithms to cluster inputs, and Remesh uses elicitation inference to help identify bridging statements across a large number of inputs. Some online systems may not surface consensus or bridging, but instead simply log the inputs of various participants.
- Citizens’ assemblies organizers utilize small group work, which relies on moderated or self-led documenting and integration of inputs. Ultimately, voting is used to ‘end’ the conversation in place of finding consensus. These decisions are sometimes made using Likert voting and supermajority thresholds.
| | Resource | Year | Creators | Description | | Product | | Colectiv | 2023 | Colectiv | A behavioral science platform gathering frontline insights through AI-assisted research methods via multiple channels including WhatsApp audio-notes and AI interviews across 15+ languages. The platform transforms narratives into structured, credible data through researcher-led, tech-supported analysis and delivers interactive dashboards making insights searchable. Serves humanitarian organizations and development programs including UNICEF, Oxfam, and the UK Foreign Commonwealth & Development Office. | | Cortico Conversation Library | 2021 | Cortico | A nonprofit platform amplifying underheard voices through community conversations, following a three-step process: organizing small-group conversations with recorded stories, using human-led analysis supported by AI tools for sensemaking, and creating media outputs incorporating actual voices. The platform emphasizes thoughtful balance of human listening and AI tools to ensure insights remain connected to real voices, serving 250+ partners across 40+ U.S. states and 60+ countries. | | Decidim | 2016 | Decidim | A free and open-source platform helping citizens, organizations, and public institutions self-organize democratically at every scale through strategic planning, assembly coordination, citizen initiatives, participatory budgeting, and networked dialogue. The platform ensures transparency, traceability, and integrity of information while providing security, privacy, and confidentiality. Used by major institutions including city governments in Barcelona, New York City, the European Commission, Helsinki, and Mexico City. | | DeliberAIde | 2025 | DeliberAIde | An AI-powered platform facilitating inclusive democratic dialogue through three stages: 'Discuss' (capturing conversations in-person, online, or hybrid with real-time transcription in 100+ languages); 'Analyze' (extracting key ideas, clustering themes, providing interactive visualization), and 'Report' (generating audience-tailored reports). The core mission emphasizes human-centered AI that empowers rather than replaces human interaction, automating time-consuming tasks like transcription while freeing personnel for meaningful engagement. | | Dembrane | 2023 | Dembrane | A web-based platform that turns unstructured dialogue into actionable plans and policies in real time, enabling organizations to capture input from 2 to 5,000+ participants simultaneously through audio and text recording. Conversations are automatically transcribed and analyzed using AI, providing instant synthesis with traceable connections between input and decisions. Built for public and civic institutions with multi-language support and comprehensive audit trails. | | Psi | 2023 | Psi | An AI-powered collective intelligence platform enabling organizations to gain insights from real-time conversations with hundreds or thousands of participants in less than one hour. The platform combines human dialogue with AI to extract meaningful insights, achieving results up to 333x faster than traditional methods with capabilities including live consensus measurement and polarization assessment. PSi bridges inclusive human dialogue with efficient AI-driven research for faster, stakeholder-grounded decision-making. | | Remesh | 2013 | Remesh | An AI-powered insights platform enabling organizations to conduct hybrid market research through live digital focus groups (up to 1,000 participants), asynchronous surveys (up to 5,000 participants), and video interviews at scale. Participants respond to questions and vote on each other's answers, with collective voting surfacing the most resonant ideas while AI automatically organizes and analyzes responses. Features include built-in translation across 35+ languages, integrated recruitment, and the ability to convert weeks of analysis into hours. | | YourPriorities | 2008 | Citizens Foundation | A cloud-based civic engagement platform connecting governments with citizens for collaborative problem-solving through idea generation and balanced deliberation where citizens add supporting or opposing points. The platform's structure minimizes toxic interactions by requiring standalone counterarguments rather than direct comments, making trolling almost impossible. Operating since 2008 in thousands of projects across 45+ countries, features include AI-powered translation, participatory budgeting, and flexible authentication methods. | | Research | | Elicitation Inference Optimization for Multi-Principal-Agent Alignment | 2022 | Andrew Konya, Aviv Ovadya, Yeping Lina Qiu and Michael P Varga | Research on elicitation inference methods for aggregating and understanding collective preferences from participant inputs. | | 'Generative CI' through Collective Response Systems | 2023 | Aviv Ovadya | Introduces 'Generative Collective Intelligence (CI)' through Collective Response Systems that enable groups with differing viewpoints to collaboratively answer questions or make decisions using a generative voting mechanism where both voting choices and what gets voted on emerge from participation. Platforms like Polis support policy-making at different government levels, while Remesh has been deployed by the UN to understand challenges across war-torn countries. These systems enable non-confrontational exploration of divisive issues, help identify common ground, and can strengthen democratic processes. | | Generative Social Choice | 2023 | Sara Fish, Paul Gölz, David C. Parkes, Ariel D. Procaccia, Gili Rusak, Itai Shapira and Manuel Wüthrich | Introduces a design methodology for open-ended democratic processes combining social choice theory with LLM capabilities to generate text and extrapolate preferences, enabling collective selection of textual statements unlike traditional voting limited to predetermined alternatives. The approach divides AI-augmented democratic process design into proving representation guarantees via oracle queries and empirically validating their implementation via LLMs. Applied to summarizing free-form opinions into proportionally representative slates—in a trial on abortion policy, 84 of 100 participants felt "excellently" or "exceptionally" represented. | | Generative Social Choice: The Next Generation | 2025 | Niclas Boehmer, Sara Fish and Ariel D. Procaccia | Extends the Generative Social Choice framework with theoretical guarantees for approximately optimal queries and budget limits on overall slate length, addressing the challenge of producing representative slates of statements from open-ended user opinions. Uses GPT-4o to demonstrate effectiveness on city improvement measures and drug review datasets. Accepted to ICML 2025. | | Opportunities and Risks of LLMs for Scalable Deliberation with Polis | 2023 | Christopher T. Small, Ivan Vendrov, Esin Durmus, Hadjar Homaei, Elizabeth Barry, Julien Cornebise, Ted Suzman, Deep Ganguli and Colin Megill | Research exploring how LLMs (specifically Claude) can meaningfully enhance Polis conversations, demonstrating that summarization capabilities enable categorically new methods with immense promise to empower the public in collective meaning-making exercises. While highlighting substantial benefits for moderating, facilitating, and summarizing discussions, the paper acknowledges context limitations significantly impact quality and proposes principles and mitigation strategies. The research outlines frameworks for addressing pitfalls and identifies open questions for AI-augmented deliberative platforms. | | Smoothed Analysis of Social Choice, Revisited | 2023 | Bailey Flanigan, Alexandros Psomas and Daniel Halpern | Addresses the fundamental challenge in voting theory that designing voting rules satisfying all desirable properties is impossible, exploring this through "smoothed analysis" that introduces small random perturbations to votes. The paper provides simple sufficient conditions for smoothed-satisfaction or violation of various voting axioms, focusing on the Mallows noise model to present a more nuanced picture of when smoothed analysis can help resolve voting paradoxes versus scenarios offering limited practical benefit. | | |
| Include voiceless perspectives Ability to fairly include the perspectives of those that are not represented in the process, including people who are not present (future generations, young people or other representation constraints), and non-human entities (natural phenomena or animals). | | Maturity | Low | | Importance | High | | Opportunity | High | | Neglectedness | Medium | | Transnational | Low | | How this is performed now... - Process organizers can ask participants to critically reflect on the hypothetical views of those not present. There are some exercises that prompt participants to consider or even role-play views that are not present in the room (Deliberative Democracy Digest).
| | Resource | Year | Creators | Description | | Experimental Practice | | Animals in the Room | 2023 | Mélanie Challenger | A project exploring how to include non-human perspectives (animals and nature) in democratic governance and deliberation. Part of the growing "more-than-human governance" movement examining how governance can draw on more-than-human intelligences and consider our relationship with the living world when making decisions. Developed in collaboration with DemocracyNext, it contributes to emerging practices around representation-focused approaches to including voiceless perspectives in deliberative processes. | | How can AI and Civic Tech Build Consensus for Climate Policy and Include the Voices of Future Generations? | 2025 | MIT Gov/Lab and Stanford HAI | A TICTeC 2025 workshop by MIT GOV/LAB and Stanford HAI exploring how AI and civic tech can build consensus for climate policy while including future generations' voices using the deliberation.io platform. The platform employs AI chatbots following a Socratic dialogue model to help users reflect on their beliefs, with participants engaging in a fictional scenario speaking with a scientist from "2048." Early pilot data suggests AI-assisted reasoning can move opinions toward centrist positions and depolarize discussion. | | More-than-human governance experiments in Europe | 2024 | DemocracyNext | A DemocracyNext research project exploring how governance and policy design can draw on more-than-human intelligences, examining emerging experiments in Europe around rights-based, representation-focused, and artistic approaches. The project identified key concepts like entanglement, relationality, and reciprocity in this emerging field, while mapping challenges around inclusivity, funding, and tensions between various approaches. Researchers characterize this as an emerging community of practice with practitioners often unaware of parallel work. | | Radicle Civics — Building Proofs of Possibilities for a Civic Economy and Society | 2023 | Dark Matter Labs | An experimental project by Dark Matter Labs exploring the use of large language models (LLMs) to represent non-human entities like rivers in democratic deliberation. Part of their "Radicle Civics" initiative, it experiments with AI as a medium for giving voice to natural systems in governance processes. The project explores how technology might help bridge communication between human decision-makers and the more-than-human world. | | Product | | deliberation.io | 2024 | Alex 'Sandy' Pentland, Lily Tsai | A citizen engagement platform facilitating large-scale democratic discussions through AI-powered facilitation identifying common ground, inclusive participation mechanisms, and transparent verifiable methodologies. Used by Washington DC for AI Public Listening Sessions in collaboration with MIT Governance Lab and Stanford Digital Economy Lab. Organizations employ it for policy feedback, budget prioritization, stakeholder engagement, and community planning decisions. | | Research | | Institutions for Future Generations | 2017 | Iñigo González-Ricoy and Axel Gosseries | Extensive work in political theory and political philosophy exploring the opportunities and challenges of representing future generations and non-human animals in democratic processes | | |
| Reach participants Ability to reach potential participants (e.g., to mitigate biases around self-selection, who is reachable, etc.). | | Maturity | Low | | Importance | Extreme | | Opportunity | High | | Neglectedness | High | | Transnational | Minimal | | How this is performed now... - Panel providers typically maintain large pools of pre-recruited participants from which they draw. They may actively recruit to fill any gaps, as these lists are typically unrepresentative of the wider population.
- Citizens’ assemblies organizers commonly recruit with 2-stage democratic lottery, which involves a round of mailed invitations and then a round of stratified random selection. There is also some use of door-knocking, random phone number dialing, and other recruitment methods. In the global south, where the infrastructure that these approaches rely on can be scarce, alternative in-person methods have been used.
| | Resource | Year | Creators | Description | | Experimental Practice | | Community Host model | 2021 | Iswe, Deliberativa, Innovation for Policy Foundation, Rax Consulting | A four-step method for recruiting globally representative participants: random location lottery using population data, recruiting local community hosts, having hosts recruit diverse local candidates, then using sortition with stratification to select final participants. The 2021 Global Assembly used a NASA population density database to select 100 random points globally, then worked with trusted local organizations to recruit 4-6 candidates per location through street conversations and door-knocking. The method achieved proportional representation by gender, age, geography, climate attitudes, and education. In-country partners worked directly with members of the assembly to provide them a safe place to work, a computer, internet connection, and technical assistance | | SORT-EU Network | 2023 | Sortition Foundation | A collaborative coalition coordinated by Sortition Europe bringing together more than 30 organizations across EU member states to advance democratic participation through sortition-based methods. Partners handle in-country recruitment and communication within their respective member states, maintaining local expertise while pursuing a unified mission. The network enables large-scale, transnational democratic lottery initiatives across the European continent. | | Research | | Global Assembly Selection and Recruitment Workshop | 2025 | Iswe, Deliberativa, Innovation for Policy Foundation, Rax Consulting | Workshop examining recruitment methodologies for Global Citizens' Assemblies, exploring tensions between sortition and inclusive representation, and proposing adaptive approaches like purposive boosts and iterative review. The workshop identified concerns that random selection may exclude marginalized groups and proposed a four-step adaptive methodology combining random selection with inclusive design, purposive outreach, tailored processes, and iterative evaluation. Key insight: different goals imply different recruitment strategies, so approaches should be context-specific and co-designed with community partners. | | Selective Voices in Deliberative Mini-Publics: Self Selection and Citizens’ Assembly Participation in the US. | 2025 | Alexandra Cirone | Alexandra Cirone's empirical work on self-selection biases in citizens' assembly participation, presented at the Stanford Workshop on Democratic Governance and New Technology. The workshop examines how voting and governance systems are being adapted for online platforms, addressing challenges like Sybil attacks and user disengagement. This research explores whether technology enables novel systems like liquid democracy that outperform conventional approaches. | | |
| Select participants Ability to fairly select participants according to some definition of representation. | | Maturity | High | | Importance | Low | | Opportunity | Low | | Neglectedness | Low | | Transnational | Low | | How this is performed now... - Process organizers use existing algorithms and tools to implement the normative selection criteria that they set out. 100+ citizens’ assemblies around the world at every level of governance have used these. They take a pool of willing participants and select a final ‘panel’ that adheres to set criteria.
| | Resource | Year | Creators | Description | | Research | | Alternates, Assemble! Selecting Optimal Alternates for Citizens' Assemblies | 2025 | Angelos Assos, Carmel Baharav, Bailey Flanigan and Ariel Procaccia | Develops an optimization framework for selecting alternate participants for citizens' assemblies to minimize expected demographic imbalance when dropouts occur. The method uses historical data to estimate dropout likelihood and provides theoretical guarantees regarding sample requirements and estimation accuracy. Results show the approach significantly improves representation while requiring fewer alternates compared to current practices. | | Fair algorithms for selecting citizens’ assemblies | 2021 | Bailey Flanigan, Paul Gölz, Anupam Gupta, Brett Hennig and Ariel D. Procaccia | Sortition algorithms have been designed to select participants according to quotas, balancing representativeness, fairness and manipulation resistance (Flanigan, 2021; Baharav, 2024). | | Fair, manipulation-robust, and transparent sortition | 2024 | Carmel Baharav and Bailey Flanigan | Proposes the "Goldilocks" equality objective for sortition algorithms that balance fairness, manipulation-robustness, and transparency when selecting representative panels for Citizens' Assemblies. The algorithm ensures no volunteer receives too little or too much chance of selection, achieving near-optimal performance across competing goals. Empirical testing on real data shows it achieves nearly instance-optimal minimum and maximum selection probabilities simultaneously in most real instances. | | Product | | Panelot | 2021 | Panelot | Panelot is a not-for-profit sortition tool that facilitates random citizen selection for deliberative panels in a way that is representative of the population and fair to volunteers. It operates through a two-step process: first generating a fair distribution across multiple panels meeting demographic criteria, then randomly selecting a single panel from the computed lottery. The tool is being redeveloped into Lottery Lab. | | |
| Simulate participation Ability to simulate the interactions and decisions of actors (e.g., participants, stakeholders, facilitators, experts), subprocesses, or entire processes (e.g., for rapid process iteration). | | Maturity | Minimal | | Importance | High | | Opportunity | High | | Neglectedness | Extreme | | Transnational | Minimal | | How this is performed now... - Process organizers can infer from recorded preferences for new contexts, but these inferences are usually human estimates and not supported by well-documented algorithms.
- Collective dialogue organizers can run processes with simulated participants, though more research is needed to resolve their fidelity.
| | Resource | Year | Creators | Description | | Research | | A proposal for importing society’s values | 2023 | Jan Leike | Proposes using imitation learning on large language models trained on recorded deliberative democracy sessions to answer value-laden questions at scale. The approach involves recording human 'mini-publics' deliberating complex value questions with AI assistance, then training models to simulate these deliberations conditioned on diverse background perspectives. This enables low-latency, scalable approximations of democratic decision-making processes that would otherwise be prohibitively expensive to run with actual human participants. | | Agent-Mediated Social Choice | 2018 | Umberto Grandi | Proposes autonomous AI agents ("voting avatars") that debate and vote on behalf of citizens, addressing the cognitive burden of direct democracy in complex societies through compact preference representation. Umberto Grandi argues these systems would leverage AI research in multiagent systems and computational social choice to compactly represent voter preferences and values while creating voting procedures suitable for autonomous agent use. This approach attempts to reconcile the democratic ideal of widespread participation with the practical reality that citizens cannot deeply engage with every policy decision. | | AI-Enhanced Deliberative Democracy and the Future of the Collective Will | 2025 | Manon Revel and Théophile Pénigaud | Examines design choices behind computational frameworks for finding common ground across collective preferences, situating AI-assisted preference elicitation within the historical context of opinion polls. Emphasizes that preferences are shaped by context and seldom objectively captured, exploring AI-based democratic innovations as discovery tools for fostering reasonable representations of collective will and agreement-seeking. Cautions against misuses such as enabling binding decisions without democratic input, gradual disempowerment through over-reliance on AI, or post-rationalizing predetermined political outcomes. | | Democracy on Mars 3: New Tools for Popular Sovereignty | 2023 | Tantum Collins | Several have explored versions of this idea, under the keywords 'AI-as-representative' (Collins, 2023), 'voting avatars' (Grandi, 2018), and 'virtual democracy' (Kahng et al., 2019), 'plurals' (Ashkinaze et al., 2024) and 'simulated deliberative democracy' (Leike, 2023). | | General Social Agents | 2025 | Benjamin S. Manning and John J. Horton | Presents an approach for building AI "general" agents that can predict human behavior in novel settings without requiring extensive setting-specific training data. The agents use theory-grounded natural language instructions combined with existing empirical data and knowledge from language model pretraining. Demonstrates that these agents can predict initial human play across 883,320 novel games better than cognitive hierarchy models, game-theoretic equilibria, and out-of-the-box agents, sometimes outperforming even published human behavioral data. | | Generative Agent Simulations of 1,000 People | 2024 | Joon Sung Park, Carolyn Q. Zou, Aaron Shaw, Benjamin Mako Hill, Carrie Cai, Meredith Ringel Morris, Robb Willer, Percy Liang, Michael S. Bernstein | We present a novel agent architecture that simulates the attitudes and behaviors of 1,052 real individuals—applying large language models to qualitative interviews about their lives, then measuring how well these agents replicate the attitudes and behaviors of the individuals that they represent. | | Shareholder Democracy with AI Representatives | 2025 | Suyash Fulay, Sercan Demir, Galen Hines-Pierce, Helene Landemore and Michiel A. Bakker | Proposes AI-enabled representatives trained on individual shareholder preferences to vote on their behalf in corporate governance. Addresses the problem that mutual funds concentrate voting power among few asset managers who lack insight into individual preferences. Argues this approach could outperform both pass-through voting (which has low participation) and "investor assemblies" (randomly selected shareholders). Suggests shareholder democracy offers a compelling test bed for AI-enabled representation, with potential to predict not just current preferences but how investors might vote with more time and resources. | | Statistical Foundations of Virtual Democracy | 2019 | Anson Kahng, Min Kyung Lee, Ritesh Noothigattu, Ariel Procaccia and Christos-Alexandros Psomas | Examines which voting rules are robust to prediction errors in "virtual democracy" systems that learn individual preferences and aggregate predicted votes. The research proves that the classic Borda count rule is robust to prediction errors, whereas any voting rule belonging to the wide family of pairwise-majority consistent rules is not. The authors introduce a statistical framework emphasizing voting rules whose output on true preferences likely coincides with output on noisy estimates, providing practical guidance for implementing virtual democracy systems. | | Infrastructure | | Policy Priority Reference | 2020 | Engineering and Physical Sciences Research Council (EPSRC), the Economic and Social Research Council (ESRC), and the United Nations Development Programme. | Policy Priority Inference (PPI) is a research programme and open-source toolkit that models the causal link between government expenditure and policy outcomes using agent-based modeling (a transparent AI approach). It helps governments measure public spending impact on development outcomes and supports evidence-based decision-making under budget constraints, competing targets, and multidimensional development. Available as both Python code and a user-friendly web app, it has been deployed with multilateral organizations to support development planning for UN Sustainable Development Goals. | | Experimental Practice | | Simile.ai | 2025 | The Simile Team | Simile is a simulation platform for human behavior. AI-driven simulations show how and why customers, employees, or populations respond to change. | | |
| Support participation Ability to provide accessible, welcoming and compelling processes enabling diverse participation. | | Maturity | High | | Importance | Medium | | Opportunity | Medium | | Neglectedness | Low | | Transnational | Medium | | How this is performed now... - Process organizers provide basic process information, additional context, and address accessibility needs proactively or when onboarding participants.
- Citizens’ assemblies organizers have a ‘concierge’ service for participants, which helps address any reservations, context setting, or hurdles that might come up (OECD, 2021), but this is difficult to scale. Online or predominantly digital processes will naturally exclude possible participants who have low levels of digital literacy or low levels of access to the necessary technology. Some processes have trialled providing in-person support to provide this tech and help operate it, but this is resource-intensive.
| | Resource | Year | Creators | Description | | Experimental Practice | | Community Host model | 2021 | Iswe, Deliberativa, Innovation for Policy Foundation, Rax Consulting | A four-step method for recruiting globally representative participants: random location lottery using population data, recruiting local community hosts, having hosts recruit diverse local candidates, then using sortition with stratification to select final participants. The 2021 Global Assembly used a NASA population density database to select 100 random points globally, then worked with trusted local organizations to recruit 4-6 candidates per location through street conversations and door-knocking. The method achieved proportional representation by gender, age, geography, climate attitudes, and education. In-country partners worked directly with members of the assembly to provide them a safe place to work, a computer, internet connection, and technical assistance | | Research | | Financial Compensation for Citizens' in Mini-publics: Comparing Australia and Germany | 2020 | Lyn Carson, Hans-Liudger Dienel | Compares financial compensation approaches in Australian and German deliberative mini-publics. | | |