Habermolt: Delegating Deliberation to AI Representatives

2026-05-23

AI Summary

Traditional deliberative democracy is constrained by human attention and participation bandwidth, making large-scale effective engagement difficult. This study proposes and empirically investigates an AI-delegated deliberation framework, implementing a human-AI interaction platform named Habermas that enables AI agents to represent users in public deliberation. Through systematic evaluation along three dimensions—representativeness, aggregativity, and revisability—the research demonstrates that AI representatives can significantly scale democratic participation while uncovering novel alignment challenges and critical design principles. These findings provide both theoretical grounding and practical insights for developing trustworthy AI representative systems.

Abstract

Deliberative democracy arguably leads to better collective decisions, but is fundamentally constrained by human attention and bandwidth. While recent AI-mediated deliberations scale participation by synthesizing inputs from many humans, they remain time-intensive for individual users. As AI models become increasingly capable, AI systems are being deployed not only to mediate deliberation between humans, but to represent humans in it: where AI agents deliberate on behalf of human users. We call this paradigm AI-delegated deliberation. While it promises unprecedented scale for democratic participation, it introduces qualitatively new design and alignment challenges that are poorly understood and under-theorized. To study these dynamics empirically, we deploy Habermolt, a public platform for AI-delegated deliberation. We evaluate its effectiveness along three dimensions that we use to organize any deliberative system: representation, aggregation, and revision. We use these observations to illuminate the design decisions future AI-delegated deliberation platforms must confront, contributing to the broader research agenda for scalable yet trustworthy AI representatives.

Problem

• AI-delegated deliberation
• deliberative democracy
• AI representatives
• alignment
• scalable participation

Innovation

• AI-delegated deliberation
• deliberative democracy
• AI representatives
• human-AI alignment
• scalable participation