Abstract
This paper reviews current research on artificial intelligence (AI) in the context of online discussions, using deliberative norms as a theoretical framework. Focusing on deliberative dimensions of civility, equality, rationality, and reciprocity, the study examines 171 articles, finding that most AI research to date emphasizes enhancing rationality and civility in online discourse. Techniques such as argument mining and hate speech detection are commonly employed to improve discussion quality, fostering more structured and respectful communication. However, efforts to address equality and reciprocity—the foundational principles of democratic discourse—remain sparse. For example, while AI excels at detecting incivility and structuring complex arguments, it struggles to ensure balanced participation or reciprocal engagement among diverse users. This imbalance highlights critical gaps in the application of AI for fostering equitable and inclusive dialogue. The paper argues that current approaches often lack grounding in normative democratic standards, limiting their ability to promote genuine deliberation. By incorporating deliberative principles into AI design, researchers and practitioners can create tools that support democratic ideals, mitigating biases and amplifying underrepresented voices. Ultimately, this review provides a roadmap for leveraging AI to enhance civility, rationality, equality, and reciprocity in online discussions, paving the way for more inclusive and responsive digital public spheres.
Keywords
review, artifical intelligence, AI, Deliberatio, Online Discussions
How to Cite
Friess, D., Weinmann, C. & Warné, M., (2025) “AI and Deliberation: Normative Ideals in the Light of Current AI Research - A Review”, Journal of Deliberative Democracy 21(1). doi: https://doi.org/10.16997/jdd.1805
Funding
- Name
- Jürgen Manchot Foundation
12
Views
5
Downloads