Can AI mediation improve democratic deliberation?

TL;DR

This paper examines how AI, particularly large language models, can potentially enhance democratic deliberation by increasing participation, ensuring fairness, and fostering meaningful discussion, while also identifying key challenges to implementation.

Contribution

It analyzes the potential and challenges of integrating LLMs into deliberation tools to improve democratic processes and citizen engagement.

Findings

AI can scale participation in deliberation processes.

AI-mediated systems can promote political fairness.

Trustworthy information surfacing supports meaningful discussion.

Abstract

The strength of democracy lies in the free and equal exchange of diverse viewpoints. Living up to this ideal at scale faces inherent tensions: broad participation, meaningful deliberation, and political equality often trade off with one another (Fishkin, 2011). We ask whether and how artificial intelligence (AI) could help navigate this "trilemma" by engaging with a recent example of a large language model (LLM)-based system designed to help people with diverse viewpoints find common ground (Tessler, Bakker, et al., 2024). Here, we explore the implications of the introduction of LLMs into deliberation augmentation tools, examining their potential to enhance participation through scalability, improve political equality via fair mediation, and foster meaningful deliberation by, for example, surfacing trustworthy information. We also point to key challenges that remain. Ultimately, a range of empirical, technical, and theoretical advancements are needed to fully realize the promise of AI-mediated deliberation for enhancing citizen engagement and strengthening democratic deliberation.