Human/AI Collective Intelligence for Deliberative Democracy: A Human-Centred Design Approach

2026-03-17

AI Summary

This study addresses the challenge of effectively leveraging artificial intelligence to support deliberative democracy while ensuring meaningful public participation and trust in both the design and implementation processes. Recognizing that existing AI systems often overlook citizen agency, the research proposes a novel collective intelligence–driven paradigm for deliberative democracy grounded in human-centered design. Through a co-design process, the approach deeply integrates the needs of civic organizations into AI system development. By combining user scenario modeling, requirement elicitation, and iterative prototyping, the project successfully deployed two citizen-co-designed AI-supported deliberative democracy pilots in real-world settings. These deployments demonstrate the efficacy of the proposed method in enhancing inclusivity, credibility, and practical feasibility of democratic deliberation processes.

Technology Category

• Humans and AI: Intelligent User Interfaces
• Philosophy and Ethics of AI: Bias, Fairness & Equity
• Multiagent Systems: Mechanism Design

Application Category

• Economics, Online Markets and Human Computation: Fairness and ethical considerations in crowd work and in human-in-the-loop AI systems
• Semantics and Knowledge: Data modeling to support human-machine intelligence, including LLMs agents, intelligent system behavior, explanations, and user-friendly interactions
• Responsible Web: Machine-in-the-loop, human agency and autonomy

Abstract

This chapter introduces the concept of Collective Intelligence for Deliberative Democracy (CI4DD). We propose that the use of computational tools, specifically artificial intelligence to advance deliberative democracy, is an instantiation of a broader class of human-computer system designed to augment collective intelligence. Further, we argue for a fundamentally human-centred design approach to orchestrate how stakeholders can contribute meaningfully to shaping the artifacts and processes needed to create trustworthy DD processes. We first contextualise the key concepts of CI and the role of AI within it. We then detail our co-design methodology for identifying key challenges, refining user scenarios, and deriving technical implications. Two exemplar cases illustrate how user requirements from civic organisations were implemented with AI support and piloted in authentic contexts.

Problem

• Collective Intelligence
• Deliberative Democracy
• Artificial Intelligence
• Human-Centred Design
• Civic Engagement

Innovation

• Collective Intelligence
• Deliberative Democracy
• Human-Centred Design
• AI-Augmented Collaboration
• Co-Design Methodology