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Democratic Innovation and Collective Intelligence in AI Governance
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A Government Information Quarterly article exploring democratic innovation and collective intelligence in governance contexts; content could not be retrieved, so metadata is inferred from URL, tags, and title — verify relevance before citing.
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Importance: 35/100journal articleprimary source
Summary
This research article examines how democratic innovation and collective intelligence mechanisms can be applied to AI governance challenges. It likely explores participatory approaches to policy-making that leverage distributed knowledge and public engagement to improve governance outcomes.
Key Points
- •Investigates the intersection of democratic innovation and collective intelligence frameworks for governance
- •Explores how participatory mechanisms can enhance legitimacy and effectiveness of AI-related policy decisions
- •Examines collective intelligence as a tool for addressing complex governance challenges
- •Considers institutional design questions for incorporating public wisdom into technical governance processes
Cited by 1 page
| Page | Type | Quality |
|---|---|---|
| AI-Assisted Deliberation | Approach | 63.0 |
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Artificial Intelligence in deliberation: The AI penalty and the emergence of a new deliberative divide - ScienceDirect
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Volume 42, Issue 4 , December 2025 , 102079 Artificial Intelligence in deliberation: The AI penalty and the emergence of a new deliberative divide
Author links open overlay panel Andreas Jungherr a , Adrian Rauchfleisch b Show more Add to Mendeley Share Cite https://doi.org/10.1016/j.giq.2025.102079 Get rights and content Under a Creative Commons license Open access Highlights
• Information on AI-facilitated deliberation reduces willingness to participate.
• People expect AI-facilitated deliberation to be lower quality than human-led.
• Political interest and need for cognition predict willingness to deliberate.
• Pro-AI attitudes raise willingness and quality expectations; AI-risk lowers both.
• AI in deliberation creates a new divide beyond usual participation gaps.
Abstract
Advances in Artificial Intelligence (AI) promise help for democratic deliberation, such as processing information, moderating discussion, and fact-checking. But public views of AI's role remain underexplored. Given widespread skepticism, integrating AI into deliberative formats may lower trust and willingness to participate. We report a preregistered within-subjects survey experiment with a representative German sample ( n = 1850) testing how information about AI-facilitated deliberation affects willingness to participate and expected quality. Respondents were randomly assigned to descriptions of identical deliberative tasks facilitated by either AI or humans, enabling causal identification of information effects. Results show a clear AI penalty: participants were less willing to engage in AI-facilitated deliberation and anticipated lower deliberative quality than for human-facilitated formats. The penalty shrank among respondents who perceived greater societal benefits of AI or tended to anthropomorphize it, but grew with higher assessments of AI risk. These findings indicate that AI-facilitated deliberation currently faces substantial public skepticism and may create a new “deliberative divide.” Unlike traditional participation gaps linked to education or demographics, this divide reflects attitudes toward AI. Efforts to realize AI's affordances should directly address these perceptions to offset the penalty and avoid discouraging participation or exacerbating participatory inequalities. Previous article in issue
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Keywords
Deliberation Artificial intelligence Survey experiment Political behavior Participation Recommended articles Data availability
Preregistration information and data are available at the project's OSF repos
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