| Activate learning Ability for diverse participants to efficiently and effectively learn relevant information, such that they can actively apply their learnings in the process. | | Maturity | Low | | Opportunity | Extreme | | Importance | Extreme | | Neglectedness | High | | Transnational | Minimal | | How this is performed now... - Process organizers provide information and learning activities to bring participants up to speed on the topic.
- Citizens’ assemblies organizers rely on building understanding through a ‘learning journey’ (multiple rounds of informing-questioning-answering) where participants engage with pre-written materials, speakers, Q&A responses, and experiences to build group understanding. Some of this is done individually (async), some is done in group environments.
- Collective dialogues can have a short introductory module with subject matter fundamentals to quickly ground participants in the details. These short dialogues are interactive and allow participants to learn from one another as well as read background information.
| | Resource | Year | Creators | Description | | Research | | AI Agents and Education: Simulated Practice at Scale | 2024 | Ethan R. Mollick, Lilach Mollick, Natalie Bach, LJ Ciccarelli, Ben Przystanski and Daniel Ravipinto | AI agents for learning | | Better than my professor? How to develop artificial intelligence tools for higher education | 2024 | Stefano Triberti, Raffaele Di Fuccio, Chiara Scuotto, Emanuele Marsico and Pierpaolo Limone | Research examining how AI chatbots can improve distance learning in universities by providing immediate feedback, aligning responses with course progression, and preventing conceptual misunderstandings. The authors argue truly groundbreaking AI should do more than respond more quickly than humans, proposing advanced functions including suggesting study methodologies and facilitating student-professor communication. A "human-in-the-loop" approach remains essential, with AI supporting rather than replacing educators on complex questions requiring critical judgment. | | Building an AI Reflection Agent for Policy Deliberation | 2023 | Yuxin Ji, Miles Wang and Shuyuan Wang | LLMs for self-reflection on policy issues | | Revisiting "The Voice of the People": An Evaluation of the Claims and Consequences of Deliberative Polling | 2012 | Laurel S. Gleason | Limits of expert-led brief packs (albeit focused on deliberative polling) | | Experimental Practice | | Leveraged Play | 2018 | Leveraged Play | Games that build intuition, such as Leveraged Play | | |
| Curate context Ability to provide complete context to participants, including things like background information, subject matter fundamentals, relevant considerations, tradeoffs, and possible options. | | Maturity | Low | | Opportunity | High | | Importance | High | | Neglectedness | High | | Transnational | Minimal | | How this is performed now... - Process designers work with commissioning authorities to source internal materials, sometimes use independent experts for research or request stakeholder input. The responsibility for translating materials into relevant forms varies.
- Collective dialogues can have a short introductory module with subject matter fundamentals to quickly ground participants in the details. These short learning dialogues are constructed in collaboration with commissioning authorities.
- Citizens’ assemblies organizers typically work with commissioning authorities to compile background information kits that contain basic process information, background subject matter information and other relevant information. The material is usually presented in plain language with diagrams and visual explainers where possible.
| | Resource | Year | Creators | Description | | Experimental Practice | | Colectiv AI interviews | 2025 | Colectiv | Research conducted by Colectiv with the Frontier Tech Hub combining human interviews with AI-enabled stakeholder interviews to establish guidelines ensuring technology innovation pilots maintain responsibility and inclusivity standards. The project identified that responsibility and inclusion practices must integrate with organizational culture rather than function as add-on compliance exercises. Organizations should embed these dimensions as integral business processes with explicit goals as part of success metrics. | | ‘Contextualization Engines’ can fight misinformation without censorship | 2021 | Aviv Ovadya | Contextualization Engines. | | Harmonica | 2023 | Harmonica | An AI-powered facilitation platform transforming how groups gather feedback through "conversational surveys" via chat interactions. Users set up sessions, share links for one-on-one AI conversations with smart follow-ups, then receive detailed reports with AI-generated insights and recommendations. Helps leaders, facilitators, and organizers turn chaos into consensus by organizing scattered perspectives into themes and priorities with concrete next steps. | | Retrieval Augmented Generation (RAG) | 2020 | | Retrieval Augmented Generation (RAG) is a popular machine learning technique used to make LLMs provide answers only from validated data sources. This is deployed with learning materials and other pre-validated data sources. | | Student Workshop on AI Governance with Missions Publiques | 2025 | Harmonica | A two-day deliberative workshop on AI governance facilitated by Harmonica and Missions Publiques, engaging over 70 university students at ENS-PSL in Paris in February 2025. The platform captured participant responses, generated real-time discussion summaries, and enabled facilitators to track emerging themes dynamically. The workshop validated Harmonica's potential as a facilitation tool for scaling citizen deliberation while maintaining accuracy and inclusivity. | | Product | | Formless | 2023 | Typeform | An AI-powered conversational form builder by Typeform that creates forms capable of asking and answering questions while gathering information. The platform operates in 120+ languages, supports AI training on custom data, and integrates with platforms like HubSpot, Google Sheets, and Slack. Enables businesses to engage users with higher-quality feedback through more conversational interactions. | | NotebookLM | 2024 | Google | NotebookLM is an AI research tool and thinking partner created by Google, serving as an AI-powered assistant designed to help users with research tasks and analytical thinking processes. It allows users to upload documents and have AI-powered conversations about the content. Currently a Google Labs experimental product. | | Voicepanel | 2023 | Voicepanel | An AI-powered platform streamlining customer research by automating feedback collection through voice and video responses from hundreds of participants in minutes. Features adaptive AI questioning that probes topics like a human researcher, access to 30M+ consumer panelists across 150+ countries, and real-time reports with AI-generated themes and video highlights. Claims to deliver results 10x faster at 1/3 the budget compared to traditional methods. SOC 2 Type II and GDPR compliant, backed by Y Combinator. | | Research | | Method for quantifying changes in context (forthcoming) | 2026 | Zaria Jalan | | | |
| Enumerate scenarios Ability to generate lists of likely scenarios, including edge cases, in which decisions will be applied, to help participants better understand the issue space. | | Maturity | Minimal | | Opportunity | High | | Importance | High | | Neglectedness | High | | Transnational | Low | | How this is performed now... - Process organizers rely on experts or organizers themselves to develop scenarios as a way of informing participants.
- Citizens’ assemblies organizers will use scenarios as a way to help participants understand the logic of the issue and sometimes to help test draft proposals.
| | Resource | Year | Creators | Description | | Research | | 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. | | PolicyCraft: Supporting Collaborative and Participatory Policy Design through Case-Grounded Deliberation | 2025 | Tzu-Sheng Kuo, Quan Ze Chen, Amy X. Zhang, Jane Hsieh, Haiyi Zhu and Kenneth Holstein | A collaborative policy design system enabling participatory policymaking by anchoring discussions in concrete cases rather than abstract principles, using discussion and voting mechanisms. Field studies across two university courses demonstrated that students using PolicyCraft reached greater consensus and developed better-supported policies compared to control groups without case-based scaffolding. The research highlights how human-computer interaction design can bridge theoretical policy frameworks and real-world scenarios. Presented at CHI 2025. | | |
| Evaluate claims Ability for participants to evaluate claims made during the process by any actor or source. | | Maturity | Medium | | Opportunity | High | | Importance | High | | Neglectedness | Medium | | Transnational | Low | | How this is performed now... - Citizens’ assemblies organizers do not currently systematically evaluate claims. Participants are often provided with critical thinking training and the ability to ask questions of experts, stakeholders and commissioning authorities. A common practice is to take questions from participants at the end of a meeting and provide answers before the next meeting.
- Process organisers seek to provide diverse information sources and support participant reasoning with training for careful prompting.
| | Resource | Year | Creators | Description | | Research | | Birdwatch: Crowd Wisdom and Bridging Algorithms can Inform Understanding and Reduce the Spread of Misinformation | 2022 | Stefan Wojcik, Sophie Hilgard, Nick Judd, Delia Mocanu, Stephen Ragain, M.B. Fallin Hunzaker, Keith Coleman and Jay Baxter | Research examining how crowdsourced annotations combined with algorithmic selection can combat misinformation, developing a matrix-factorization algorithm identifying annotations that appeal broadly across heterogeneous user groups through bridging-based ranking. Results showed algorithmically-selected annotations outperformed baselines, and Twitter users exposed to them were significantly less likely to reshare posts. Demonstrates that combining collective intelligence with thoughtful algorithmic curation effectively reduces misinformation spread. | | Supernotes: Driving Consensus in Crowd-Sourced Fact-Checking | 2024 | Soham De, Michiel A. Bakker, Jay Baxter and Martin Saveski | AI-driven approach to improve X's Community Notes where for 91% of posts with proposed notes, no notes achieve sufficient support. The system generates LLM-created fact-checking notes synthesizing information from multiple existing notes, with a scoring model identifying candidates most likely to gain diverse user support. In testing, participants rated Supernotes significantly more helpful and preferred them 75.2% of the time over best existing notes. | | Product | | Cofacts | 2016 | g0v Taiwan | Taiwan’s Cofacts, a fact-checking platform built through civic collaboration. | | Community Notes | 2022 | X | X's (formerly Twitter's) Community Notes is a crowdsourced fact-checking feature where users can add context to potentially misleading posts, with notes appearing when rated helpful by contributors from diverse perspectives. | | |
| Forecast impacts Ability to effectively and easily model complex systems, to help participants understand the potential impacts of different decisions. | | Maturity | Minimal | | Opportunity | High | | Importance | Extreme | | Neglectedness | High | | Transnational | Low | | How this is performed now... - Process organizers may draw on experts or use rudimentary tools to facilitate ‘if this, then that’ exercises.
- Citizens’ assemblies organizers may be given draft recommendations after the penultimate day to produce analysis to help assembly members understand the possible barriers to implementation and impacts of decisions.
| | Resource | Year | Creators | Description | | Experimental Practice | | Beamm.Brussels | 2020 | Beamm | Policy impact simulation tool for the Brussels Capital Region | | FiveThirtyNine LLM forecasting | 2024 | FiveThirtyNine | An AI forecasting system built on GPT-4o generating probability predictions for complex geopolitical and political events through multi-step reasoning: searching for news, compiling facts, weighing arguments, and producing calibrated probabilities. Testing against 177 historical events showed 87.7% accuracy, matching crowds of experienced forecasters and sometimes outperforming them. Proposed applications include integration into chatbots for policymakers and social media to improve decision-making and reduce polarization. | | Participatory Modelling of Climate Change Impacts on Public Health in Long Beach, California | 2018 | Laura Schmitt Olabisi, Gulrez Shah Azhar, Michele Abbott and Robert J. Lempert | Many stakeholders (beyond just experts) collaboratively constructed system diagrams to map climate change impacts on public health in Long Beach, California. | | Simulator (by Delib) | 2004 | Delib | An online platform engaging citizens in deliberative decision-making by adjusting sliders to reflect priorities and observing consequences of different trade-offs. Used by over 100 organizations worldwide for budget allocation, climate response planning, policing priorities, transport planning, and housing engagement. Encourages deliberation before participants submit informed preferences, generating meaningful feedback for officials. | | Product | | Budget Citoyen | 2026 | | Budget simulator developed by civil society during debates around French budget allocation. Citizens could review public spending vs. sources of income and simulate budget allocation scenarios based on objective of bringing back public deficit to 5%. | | Forio Public Policy simulator | 2001 | Forio | Forio's public policy simulation solutions enable decision-makers to design policies, analyze outcomes across different scenarios, and build stakeholder consensus. The product helps organizations move beyond static spreadsheet analysis by allowing interactive exploration of how multiple policy initiatives work together. Serves government agencies, nonprofits, and research organizations in public health, transportation, economic development, and social services. | | PolicySynth | 2024 | Citizens Foundation | An open-source TypeScript library combining collective intelligence with AI to improve decision-making in governments and companies through multi-scale AI agent logic flows. Deploys specialized agents (Engineer, Insight, Evaluation) rather than single AI systems, analyzing complex problems, breaking them into sub-problems, and generating solutions. Integrates with platforms like Your Priorities and All Our Ideas, tested on civic engagement initiatives and applied to skills-first employment, corporate strategy, and employee engagement. | | Research | | Empowering Scenario Planning with Artificial Intelligence: A Perspective on Building Smart and Resilient Cities | 2024 | Haiyan Hao, Yan Wang and Jiayu Chen | City-level scenario development (Hao et al. 2024[)](https://www.sciencedirect.com/science/article/pii/S2095809924003813) | | Gen | 2019 | MIT Probabilistic Computing Project | Gen is an open-source framework for probabilistic modeling and inference that automates complex probabilistic inference by providing building blocks for customized algorithms. The framework supports hybrid approaches combining neural networks, variational inference, sequential Monte Carlo, and MCMC methods with dynamic computation graphs for models with stochastic structure. The Julia implementation is available with ports to additional languages underway. | | The Time Machine: Future Scenario Generation Through Generative AI Toolson with Generative AI | 2025 | Jan Ferrer i Pico, Michelle Catta-Preta, Alex Trejo Omeñaca, Marc Vidal and Josep Maria Monguet i Fierro | Future scenario generation with Generative AI | | |
| Integrate wider-public Ability to provide those not in the room deliberating with opportunities to constructively and fairly contribute input into the process. | | Maturity | Low | | Opportunity | High | | Importance | High | | Neglectedness | Medium | | Transnational | Minimal | | How this is performed now... - Process organizers use mass engagement methods like surveys and submissions to gather opt-in input to informing processes. The outcomes of these engagement programs are usually then shared with those inside the process.
- Citizens’ assemblies organizers will make clear distinctions between those inside the process and those outside. They develop constructive ways for the maxi public to contribute without constraining or contradicting the internal processes of high-context assembly members, such as by asking for contributions on questions, concerns, hopes and information sources rather than rushing to judgement on proposals or outputs.
| | Resource | Year | Creators | Description | | Experimental Practice | | How one of the fastest-growing cities in Kentucky used AI to plan for the next 25 years | 2025 | Jigsaw | Recent experiments (such as in Bowling Green[, ](https://medium.com/jigsaw/how-one-of-the-fastest-growing-cities-in-kentucky-used-ai-to-plan-for-the-next-25-years-3b70c4fd1412)Kentucky) combine tools like Polis and Google Jigsaw’s Sensemaker to quickly understand a community's priorities. | | Polis | 2018 | Computational Democracy Project | An open-source platform for large-scale opinion gathering and analysis that complements lottery-selected citizen assemblies by expanding participation and enhancing deliberative processes. Polis integrates with assemblies through six strategies: topic selection, topic framing, epistemic diversity in member selection, assembly self-understanding, distributed deliberation beyond physical constraints, and collaborative document review. The platform broadens public engagement beyond assembly membership, reveals consensus points, and strengthens legitimacy through broader input. | | Practice | | Le Grand Débat National | 2019 | French government | A national consultation initiative launched by the French government in January-March 2019 in response to the Yellow Vests protests, inviting citizens to discuss taxation, public services, environmental issues, and democratic governance. Employed multiple engagement channels including town halls, public kiosks, online questionnaires, mail-in forms, and citizens' conferences featuring randomly selected regional participants. Demonstrated experiments in using multiple engagement methods to access different groups and piece outputs together. | | Research | | Make it make sense: the challenge of data analysis in global deliberation | 2024 | Iñaki Goñi | Goni suggests balancing "Big Data" computational methods with "Little Data"—specific examples, quotes, and stories preserving citizens' actual reasoning—to ensure core threads of wider public opinion are elicited without losing personal nuance. Proposes democratizing data curation through domain expert "guest curators," volunteer "sensemakers" through citizen science, visual thinking, and interoperable tools allowing multiple interpretations. The challenge lies in balancing powerful tools with commitment to preserving richness and nuance of political ideas from citizen participation. | | |
| Routing and synthesizing Ability to route and synthesize data, revealing critical information, e.g. identifying common ground, high-potential ideas, thoughtful perspectives, insightful experiences, cruxes, forecasts, while helping to minimize the time required to do tasks. | | Maturity | Medium | | Opportunity | Medium | | Importance | Medium | | Neglectedness | Medium | | Transnational | Medium | | How this is performed now... - Process organizers generally follow structured plans that stitch together data generation and gathering activities with synthesis and understanding activities.
- Collective dialogue tools such as Polis and Remesh are designed to synthesize across many points of view with bridging algorithms and elicitation inference.
| | Resource | Year | Creators | Description | | Research | | Bridging Systems: Open Problems for Countering Destructive Divisiveness across Ranking, Recommenders, and Governance | 2023 | Aviv Ovadya and Luke Thorburn | Bridging Systems (Ovadya, Thorburn, 2023) are designed to increase mutual understanding and trust across divides, creating space for productive conflict, deliberation, or cooperation. The paper examines these systems across recommender systems, collective response systems, and human-facilitated deliberation, proposing understanding them as attention-allocation processes. This interdisciplinary approach addresses how algorithmic systems mediating communication can be redesigned to promote bridging rather than amplification of divisions. | | Habermas Machine | 2024 | Michael Henry Tessler, Michiel A. Bakker, David Jarrett, Raphael Koster, Stephen Driscoll, Lisa Anne Hendricks, Mia Chiquier, Seliem El-Sayed, Saffron Huang, Kate Larson, Edith Elkind, Geoff Keeling, Jonathan Stray, Jan Balaguer, Romuald Elie and Christopher Summerfield | The authors trained a large language model called the Habermas Machine to serve as an AI mediator that helped small UK groups find common ground while discussing divisive political issues such as Brexit, immigration, the minimum wage, climate change, and universal childcare. Compared with human mediators, AI mediators produced more palatable statements that generated wide agreement and left groups less divided. The AI’s statements were more clear, logical, and informative without alienating minority perspectives. This work carries policy implications for AI’s potential to unify deeply divided groups. | | Experimental Practice | | Collective Constitutional AI: Aligning a Language Model with Public Input | 2023 | Anthropic | Anthropic's partnership with the Collective Intelligence Project where approximately 1,000 Americans collectively drafted principles to guide AI behavior through online deliberation using the Polis platform. Participants submitted 1,127 statements and cast 38,252 votes, with the team converting public statements into Constitutional AI principles. The public-aligned model performed equivalently on knowledge tasks but showed notably reduced bias across nine social dimensions, particularly regarding disability representation. | | Product | | 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. | | GoVocal | 2015 | GoVocal | A community engagement platform serving 600+ governments globally, enabling feedback collection through surveys, voting, mapping, ideation, and participatory budgeting both online and offline. Features AI-powered analysis to identify themes, priorities, and community sentiment with quick reporting to stakeholders. 93% of clients report the platform helps engage more people and 87% report improved workflows. | | Talk to the City | 2023 | AI Objectives Institute | An AI-powered deliberation platform by AI Objectives Institute that extracts positions from unstructured text, organizes them into argument clusters based on reasoning similarity, and presents findings through interactive visualization. Features include LLM representatives from each perspective enabling conversational exploration of key disagreements and common ground, scaling from 50 to millions of respondents. The tool helps policymakers identify cruxes between viewpoints and potentially allows respondents to refine positions. | | |