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Artificial intelligence in democratic innovations: an aesthetic–perceptual paradigm for evaluating deliberative quality

Democracy
Political Theory
Artificial Intelligence
Dmitrij Wolodin
Kozminski University
Dmitrij Wolodin
Kozminski University

Abstract

Artificial intelligence is increasingly used within contemporary democratic innovations (DIs), yet existing scholarly and policy assessments remain narrowly focused on technical performance, automation, and procedural reliability. These perspectives overlook how algorithmic tools influence the ethical, expressive, and interpretive qualities of deliberation - qualities that affect how arguments become visible, how participants recognise one another, and how credibility and legitimacy are formed. This chapter addresses this gap by examining documented instances of AI integration into deliberative and participatory processes, drawing on a structured review of academic and policy sources using defined search criteria. The review demonstrates that current evaluations rarely consider the normative and aesthetic implications of algorithmic mediation, despite their relevance for democratic quality. Building on deliberative democratic theory and aesthetic-humanistic approaches to organisational and institutional analysis, the chapter proposes a conceptual framework for assessing how AI shapes the ethical and expressive dimensions of public reasoning. The framework offers a more comprehensive basis for evaluating AI-mediated participation and guides the development of democratic innovations that remain attentive to human dignity, interpretive fairness, and responsible institutional design.