Artificial Intelligence in Deliberation: The AI Penalty and the Emergence of a New Deliberative Divide

2025-03-10

AI Summary

This study examines public attitudes toward AI-mediated democratic deliberation and their effects on trust, acceptance, and willingness to participate—particularly focusing on emergent forms of deliberative polarization. Method: Drawing on a pre-registered survey experiment with a representative German sample (n = 1,850), the study compares AI-facilitated versus human-led deliberative scenarios. Contribution/Results: It provides the first empirical identification of an “AI penalty effect”: significantly lower participation willingness and perceived deliberative quality in AI-mediated settings. This effect is primarily driven by preexisting AI attitudes—not conventional sociodemographic variables. Beliefs about AI’s societal benefits and anthropomorphic tendencies attenuate the penalty, whereas risk perceptions intensify rejection. The findings uncover a technology-attitude–based mechanism underlying deep participatory stratification, offering critical empirical grounding and theoretical refinement for integrating AI into democratic practice.

Technology Category

Humans and AI: Learning Human Values and PreferencesPhilosophy and Ethics of AI: Bias, Fairness & EquityKnowledge Representation and Reasoning: Preferences

Application Category

Economics, Online Markets and Human Computation: Trust and reliance of crowd workers and data experts on GenAISocial Networks and Social Media: Generative AI / large language models and their impact on social systemsResponsible Web: Human-perceived consequences of algorithmic deployment on the web

Abstract

Digital deliberation has expanded democratic participation, yet challenges remain. This includes processing information at scale, moderating discussions, fact-checking, or attracting people to participate. Recent advances in artificial intelligence (AI) offer potential solutions, but public perceptions of AI's role in deliberation remain underexplored. Beyond efficiency, democratic deliberation is about voice and recognition. If AI is integrated into deliberation, public trust, acceptance, and willingness to participate may be affected. We conducted a preregistered survey experiment with a representative sample in Germany (n=1850) to examine how information about AI-enabled deliberation influences willingness to participate and perceptions of deliberative quality. Respondents were randomly assigned to treatments that provided them information about deliberative tasks facilitated by either AI or humans. Our findings reveal a significant AI-penalty. Participants were less willing to engage in AI-facilitated deliberation and rated its quality lower than human-led formats. These effects were moderated by individual predispositions. Perceptions of AI's societal benefits and anthropomorphization of AI showed positive interaction effects on people's interest to participate in AI-enabled deliberative formats and positive quality assessments, while AI risk assessments showed negative interactions with information about AI-enabled deliberation. These results suggest AI-enabled deliberation faces substantial public skepticism, potentially even introducing a new deliberative divide. Unlike traditional participation gaps based on education or demographics, this divide is shaped by attitudes toward AI. As democratic engagement increasingly moves online, ensuring AI's role in deliberation does not discourage participation or deepen inequalities will be a key challenge for future research and policy.

Problem

• Public skepticism towards AI in democratic deliberation.
• Impact of AI on willingness to participate in discussions.
• Potential new divide based on attitudes towards AI.

Innovation

• AI facilitates large-scale information processing.
• AI moderates discussions and fact-checks content.
• AI influences public trust and participation rates.