AI Can Expand Citizen Participation—but Only If Governments Govern the Technology
In Artificial Intelligence and the Future of Citizen Participation: Typology of Applications, Opportunities and Challenges for Democratic Innovation, the Organisation for Economic Co-operation and Development examines whether artificial intelligence can make public participation more accessible, scalable, and consequential without weakening democratic legitimacy. The report was drafted by OECD Policy Analyst Giulia Cibrario, with Mauricio Mejia Galvan supporting its conceptualisation, Raphaël Pouyé providing strategic comments, and the Bertelsmann Stiftung contributing to its development.
The report begins from an institutional premise: meaningful participation can improve policy quality and strengthen public trust because citizens are more likely to trust government when they believe they can participate and be heard. Yet traditional participation processes remain constrained by limited resources, inaccessible formats, weak connections to actual decision-making, and the difficulty of analysing large volumes of public input. AI is presented not as a substitute for democratic institutions or skilled practitioners, but as a potentially powerful civic-technology layer that can reduce these practical barriers.
Drawing on 50 use cases from 22 OECD member and partner countries, the OECD develops a nine-part typology of AI applications: information development, sense-making, translation, transcription, virtual assistance, moderation, facilitation, simulation, and architecture. These tools may support citizens directly through accessible information, multilingual participation, conversational assistance, and improved deliberation. They may also strengthen government’s back-office capacity by summarising submissions, identifying themes, moderating content, transcribing proceedings, and analysing participation at a scale that would otherwise be administratively prohibitive.
The most widespread applications are sense-making, virtual assistance, and translation. Their significance lies in AI’s ability to process large quantities of qualitative input while preserving opportunities for individual participation. Used carefully, AI can help governments move beyond consultations in which contributions are collected but never meaningfully analysed. It may also enable deliberative processes involving substantially larger populations than conventional assemblies can accommodate.
The OECD nevertheless rejects technological optimism without governance. AI systems may reproduce skewed data, generate inaccurate or fabricated outputs, obscure how conclusions were reached, compromise privacy, introduce cybersecurity vulnerabilities, and widen digital, linguistic, or social inequalities. Public resistance may also increase when governments deploy AI without disclosure or meaningful accountability. Institutional risks include inadequate skills, weak procurement capacity, unsuccessful pilots, insufficient investment, and dependence on proprietary vendors or data ecosystems.
The report therefore recommends a combination of guardrails, institutional enablers, and public engagement. Governments should adopt fair and transparent systems, conduct lifecycle risk assessments and audits, preserve low-technology alternatives, invest in AI literacy, build interoperable digital infrastructure, and guard against vendor lock-in. Citizens should also participate in the design, deployment, evaluation, and governance of the AI systems that affect public participation itself.
For federal contractors, the report signals that AI-enabled public-sector solutions will increasingly be evaluated not only for technical performance, but also for transparency, accessibility, privacy, cybersecurity, human oversight, interoperability, and democratic legitimacy. Responsible AI is therefore becoming a performance and procurement discipline, not merely an aspirational ethics principle.
Disclaimer
This article is provided for general informational and educational purposes only. It does not constitute legal, regulatory, cybersecurity, artificial-intelligence governance, procurement, or compliance advice. Federal contractors should evaluate AI-related requirements under their specific solicitations, contracts, agency policies, data environments, and applicable laws in consultation with qualified legal, technical, privacy, and cybersecurity professionals.