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The Digitization of Participatory Democracy in the Age of AI

Manon Berriche

Over the past two decades, digital platforms have become common tools for involving citizens in public debate and decision-making. A new generation of participatory platforms now integrates artificial intelligence to help participants formulate their arguments, translate or moderate discussions, identify points of agreement and disagreement, and summarize large volumes of contributions. These tools promise to make public participation more inclusive and to enable meaningful deliberation at a much larger scale. Yet this development also marks an important shift. Earlier civic technologies mainly provided citizens with new channels to express an opinion, submit a proposal, or vote on other contributions. AI systems can now intervene more directly in how citizens’ views are formulated, organized, interpreted, and ultimately represented. My research asks what this transformation means for participatory democracy.

The project will develop a critical mapping of emerging AI-assisted participatory platforms and examine the different conceptions of democracy embedded in their design. Technical choices are never entirely neutral: a platform designed to highlight common ground, preserve disagreement, give greater visibility to minority positions, or maximize participation will produce different representations of collective opinion. Through interviews with designers and a close study of platforms, their interfaces, documentation, and operating principles, I will investigate how ideas such as inclusion, consensus, pluralism, and representation are translated into concrete design choices.

My stay at Stanford will provide a unique opportunity to deepen this research through an in-depth study of the Stanford Online Deliberation Platform. Developed by the Deliberative Democracy Lab and the Crowdsourced Democracy Team, the platform seeks to bring the principles of Deliberative Polling to large-scale online discussions through structured small-group conversations and automated moderation. By studying the platform in the environment in which it is being developed, I aim to understand how an established model of deliberative democracy is translated—and potentially transformed—when increasingly sophisticated computational tools become part of the deliberative process. This Stanford case study will serve as a central point of comparison within my broader mapping of emerging forms of AI-assisted participation.


 

Academic Year
2026-2027
Area of Study